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Publications

Here is a selection of our publications by type.

Personalise
Students studying with books and laptops in the Library Support Unit (LSU)

rCITI staff and students actively participated in conferences, seminars, and workshops, which resulted in the publication of conference papers and journal articles.

Journal - Refereed & Scholarly Article
  1. Beck B; Winters M; Nelson T; Pettit C; Leao SZ; Saberi M; Thompson J; Seneviratne S; Nice K; Stevenson M, (2023), 'Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics',泭Environment and Planning B: Urban Analytics and City Science, vol. 50, pp. 7 - 23,泭, ROS ID:泭
  2. Bostanara M; Hossein Rashidi T; Khan NA; Auld J; Ghasri M; Grazian C, (2023), 'The co-determination of home and workplace relocation durations using survival copula analysis',泭Computers, Environment and Urban Systems, vol. 99, pp. 101898 - 101898,泭, ROS ID:泭
  3. Chinaei MH; Hossein Rashidi T; Waller T, (2023), 'Digitally transferable ownership of mobility-as-a-service systems using blockchain and smart contracts',泭Transportation Letters, vol. 15, pp. 54 - 61,泭, ROS ID:泭
  4. Haghani M; Sabri S; De Gruyter C; Ardeshiri A; Shahhoseini Z; Sanchez TW; Acuto M, (2023), 'The landscape and evolution of urban planning science',泭Cities, vol. 136,泭, ROS ID:泭
  5. Haghani M; Merkert R; Behnood A; De Gruyter C; Kazemzadeh K; Ghaderi H; Shahhoseini Z; Thai V; Irannezhad E; Fahimnia B; Waller ST; Hensher DA, (2023), 'How COVID-19 transformed the landscape of transportation research: an integrative scoping review and roadmap for future research',泭Transportation Letters,泭, ROS ID:泭
  6. Kazemzadeh K; Haghani M; Sprei F, (2023), 'Electric scooter safety: An integrative review of evidence from transport and medical research domains',泭Sustainable Cities and Society, vol. 89,泭, ROS ID:泭
  7. Najmi A; Waller T; Memarpour M; Nair D; Rashidi TH, (2023), 'A human behaviour model and its implications in the transport context',泭Transportation Research Interdisciplinary Perspectives, vol. 18,泭, ROS ID:泭
  8. Najmi A; Rashidi TH; Waller T, (2023), 'A multimodal multi-provider market equilibrium model: A game-theoretic approach',泭Transportation Research Part C: Emerging Technologies, vol. 146, pp. 103959 - 103959,泭, ROS ID:泭
  9. Rey D; Hammad AW; Saberi M,泭(2023), 'Vaccine allocation policy optimization and budget sharing mechanism using reinforcement learning',泭Omega (United Kingdom), vol. 115, pp. 102783 - 102783,泭, ROS ID:泭
  10. Shahriari S; Sisson SA; Rashidi T, (2023), 'Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use',泭Transportation Research Part C: Emerging Technologies, vol. 146,泭, ROS ID:泭
  11. Zwack CC; Haghani M; Hollings M; Zhang L; Gauci S; Gallagher R; Redfern J, (2023), 'The evolution of digital health technologies in cardiovascular disease research',泭npj Digital Medicine, vol. 6,泭, ROS ID:泭
  1. Alhariqi A; Gu Z; Saberi M, (2022), Calibration of the intelligent driver model (IDM) with adaptive parameters for mixed autonomy traffic using experimental trajectory data,泭Transportmetrica B, vol. 10, pp. 421 - 440,泭
  2. Alipour M; Irannezhad E; Stewart RA; Sahin O, (2022), 'Exploring residential solar PV and battery energy storage adoption motivations and barriers in a mature PV market',泭Renewable Energy, vol. 190, pp. 684 - 698,泭
  3. Alipour M; Taghikhah F; Irannezhad E; Stewart RA; Sahin O, (2022), 'How the decision to accept or reject PV affects the behaviour of residential battery system adopters',泭Applied Energy, vol. 318,泭
  4. Carbone E; Dixit VV; Rutstrom EE, (2022), Should I stay or should I go? Congestion pricing and equilibrium selection in a transportation network,泭Theory and Decision,泭
  5. Chand S; Li Z; Dixit VV; Travis Waller S, (2022), Examining the macro-level factors affecting vehicle breakdown duration,泭International Journal of Transportation Science and Technology,泭, ROS ID:泭
  6. Chinaei MH; Hossein Rashidi T; Waller T, (2022), Digitally transferable ownership of mobility-as-a-service systems using blockchain and smart contracts,泭Transportation Letters,泭
  7. Dixit V; Jian S, (2022), Quantum Fourier transform to estimate drive cycles,泭Scientific Reports, vol. 12,泭
  8. Dong X; Chow JYJ; Waller ST; Rey D, (2022), A chance-constrained dial-a-ride problem with utility-maximising demand and multiple pricing structures,泭Transportation Research Part E: Logistics and Transportation Review, vol. 158,泭
  9. Enam A; Ardeshiri A; Rashidi TH; Auld J, (2022), Do automated vehicle (AV) enthusiasts value travel time differently from cautious travelers? an exploration of travelers attitudes towards AV,泭Transportation Planning and Technology, vol. 45, pp. 19 - 38,泭, ROS ID: 1789784
  10. Ghasri M; Rashidi T; Auld J, (2022), Determinants of residential mobility: an adaptive retrospective survey method,泭Transportation Letters,泭
  11. Gu Z; Wang Z; Liu Z; Saberi M, (2022), Network traffic instability with automated driving and cooperative merging,泭Transportation Research Part C: Emerging Technologies, vol. 138,泭
  12. Haghani M; Behnood A; Dixit V; Oviedo-Trespalacios O. (2022). Road safety research in the context of low- and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges.泭Safety Science,泭146. doi:, ROS ID:泭
  13. Irannezhad E; Mahadevan R, (2022), 'Examining factors influencing the adoption of solo, pooling and autonomous ride-hailing services in Australia',泭Transportation Research Part C: Emerging Technologies, vol. 136, 泭
  14. Lilasathapornkit T; Rey D; Liu W; Saberi M, (2022), 'Traffic assignment problem for footpath networks with bidirectional links',泭Transportation Research Part C: Emerging Technologies, vol. 144,泭, ROS ID:泭
  15. Lilasathapornkit T; Saberi M, 2022, 'Dynamic pedestrian traffic assignment with link transmission model for bidirectional sidewalk networks',泭Transportation Research Part C: Emerging Technologies, vol. 145,泭泭ROS ID:泭
  16. Ma M; Zhang F; Liu W; Dixit V, (2022), A game theoretical analysis of metro-integrated city logistics systems,泭Transportation Research Part B: Methodological, vol. 156, pp. 14 - 27,泭
  17. Munawar HS; Hammad AWA; Waller ST, (2022), Remote Sensing Methods for Flood Prediction: A Review,泭Sensors, vol. 22,泭
  18. Munawar HS; Mojtahedi M; Hammad AWA; Ostwald MJ; Waller ST, (2022), An AI/ML-Based Strategy for Disaster Response and Evacuation of Victims in Aged Care Facilities in the Hawkesbury-Nepean Valley: A Perspective,泭Buildings, vol. 12, pp. 80 - 80,泭
  19. Najmi A; Nazari S; Safarighouzhdi F; Miller EJ; MacIntyre R; Rashidi TH, (2022), 'Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model',泭Transportation, vol. 49, pp. 1265 - 1293,泭
  20. Qiu E; Virdi N; Grzybowska H; Waller T, (2022), Recalibration of the BPR function for the strategic modelling of connected and autonomous vehicles,泭Transportmetrica B, pp. 1 - 22,泭
  21. Wang J; Sarvi M; Ma J; Haghani M; Alhawsawi A; Chen J; Lin P, (2022), A modified universal pedestrian motion model: Revisiting pedestrian simulation with bottlenecks,泭Building Simulation, vol. 15, pp. 631 - 644,泭
  22. Wei B; Zhang X; Liu W; Saberi M; Waller ST, (2022), 'Capacity allocation and tolling-rewarding schemes for the morning commute with carpooling',泭Transportation Research Part C: Emerging Technologies, vol. 142, pp. 103789 - 103789,泭, ROS ID:泭
  23. Xi H; Aussel D; Liu W; Waller ST; Rey D, (2022), Single-leader multi-follower games for the regulation of two-sided Mobility-as-a-Service markets,泭, ROS ID:泭泭(梯娶梗梯娶勳紳喧)
  24. Xu K; Saberi M; Liu W, (2022), 'Dynamic pricing and penalty strategies in a coupled market with ridesourcing service and taxi considering time-dependent order cancellation behaviour',泭Transportation Research Part C: Emerging Technologies, vol. 138,泭, ROS ID:泭
  1. Abbasi A; Hossein Rashidi T, (2021), Human urban mobility, personal or global?,泭Transportation Letters, vol. 13, pp 77-82,泭泭, ROS ID:泭
  2. Ardeshiri A; Safarighouzhdi F; Hossein Rashidi T, (2021), Measuring willingness to pay for shared parking.泭Transportation Research Part A: Policy and Practice,泭152, 186-202. doi:, ROS ID:泭
  3. Ashfaq M; Gu Z; Waller ST; Saberi M, (2021), Comparing Dynamic User Equilibrium and Noniterative Stochastic Route Choice in a Simulation-Based Dynamic Traffic Assignment Model: Practical Considerations for Large-Scale Networks,泭Journal of Advanced Transportation, vol. 2021, pp. 1 - 16,泭, ROS ID:泭
  4. Bai, L., Yao, L., Wang, X., Li, C., & Zhang, X. (2021). Deep spatialtemporal sequence modeling for multi-step passenger demand prediction. Future Generation Computer Systems, 121, 25-34.泭
  5. Barbara M; Rey D; Akbarnezhad A, (2021), Optimizing Location of New Public Schools in Town Planning Considering Supply and Demand,泭Journal of Urban Planning and Development, vol. 147, pp. 04021057 - 04021057,泭, ROS ID:泭
  6. Barbieri DM; Lou B; Passavanti M; Hui C; Hoff I; Lessa DA; Sikka G; Chang K; Gupta A; Fang K; Banerjee A; Maharaj B; Lam L; Ghasemi N; Naik B; Wang F; Mirhosseini AF; Naseri S; Liu Z; Qiao Y; Tucker A; Wijayaratna K; Peprah P; Adomako S; Yu L; Goswami S; Chen H; Shu B; Hessami A; Abbas M; Agarwal N; Rashidi TH, (2021), Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes,泭PLoS ONE, vol. 16, pp. e0245886,泭, ROS ID:泭
  7. Bostanara M; Rashidi TH; Auld J; Ghasri M, (2021), A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis,泭Computers, Environment and Urban Systems, vol 89,泭泭, ROS ID:泭泭
  8. Chakraborty S; Rey D; Levin M W; Waller S T, (2021), Freeway network design with exclusive lanes for automated vehicles under endogenous mobility demand.泭Transportation Research Part C: Emerging Technologies,泭133. doi:, ROS ID:泭
  9. Chand S. (2021). Modeling predictability of traffic counts at signalised intersections using hurst exponent.泭Entropy,泭23(2), 1-14.泭
  10. Chand S; Yee E; Alsultan A;泭 Dixit泭 VV, (2021), A descriptive analysis on the impact of covid-19 lockdowns on road traffic incidents in sydney, Australia.泭International Journal of Environmental Research and Public Health,泭18(21). doi:, ROS ID:泭
  11. Frtunik D; Sinha A; Grzybowska H; Virdi N; Waller ST; Dixit V, (2021), Sensitivity analysis on a dynamic coupling model for V2V communication distance control,泭Procedia Computer Science, vol. 184, pp. 372 - 379,泭, ROS ID:泭
  12. Ghahari S; Queiroz C; Labi S; 泭McNeil S, (2021). Cluster forecasting of corruption using nonlinear autoregressive models with exogenous variables (Narx)an artificial neural network analysis.泭Sustainability (Switzerland),泭13(20).泭泭
  13. Ghasri M; Ardeshiri A; Ekins-Daukes NJ; Rashidi T; (2021), Willingness to pay for photovoltaic solar cells equipped electric vehicles.泭Transportation Research Part C: Emerging Technologies,泭133. doi:, ROS ID:泭
  14. Gong S; Hin Sing Cheng V; Ardeshiri A; Rashidi TH, (2021), Incentives and concerns on vehicle-to-grid technology expressed by Australian employees and employers,泭Transportation Research Part D: Transport and Environment, vol. 98,泭, ROS ID:泭
  15. Gu Z; Saberi M, (2021), Simulation-based optimization of toll pricing in large-scale urban networks using the network fundamental diagram: A cross-comparison of methods,泭Transportation Research Part C: Emerging Technologies, vol. 122,泭, ROS ID:泭
  16. Gu Z; Safarighouzhdi F; Saberi M; Rashidi TH, (2021), A macro-micro approach to modeling parking,泭Transportation Research Part B: Methodological, vol. 147, pp. 220 - 244,泭, ROS ID:泭
  17. Haghani M, (2021), The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact.泭Physica A: Statistical Mechanics and its Applications,泭580. doi:, ROS ID:泭
  18. Haghani M; Varamini P (2021), Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature.泭Scientometrics,泭126(8), 7005-7050. doi:, ROS ID:泭
  19. Haghani M; Behnood A; Oviedo-Trespalacios O; Bliemer, MCJ, (2021), Structural anatomy and temporal trends of road accident research: Full-scope analyses of the field.泭Journal of Safety Research,泭79, 173-198. doi:, ROS ID:泭
  20. Haghani M; Bliemer MCJ; Hensher DA, (2021), The landscape of econometric discrete choice modelling research.泭Journal of Choice Modelling,泭40. doi:, ROS ID:泭
  21. Haghani M; Bliemer MCJ; Rose JM; Oppewal H; Lancsar E, (2021), Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods.泭Journal of Choice Modelling,泭41. doi:, ROS ID:泭
  22. Haghani M; Bliemer MCJ; Rose JM; Oppewal H; Lancsar E, (2021), Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimaging.泭Journal of Choice Modelling,泭41. doi:, ROS ID:泭
  23. Hamedmoghadam H; Vu HL; Jalili M; Saberi M; Stone L; Hoogendoorn S, (2021), Automated extraction of origin-destination demand for public transportation from smartcard data with pattern recognition,泭Transportation Research Part C: Emerging Technologies, vol. 129,泭, ROS ID:泭
  24. Hassan MN; Rashidi TH; Nassir N, (2021), Consideration of different travel strategies and choice set sizes in transit path choice modelling,泭Transportation, vol. 48, pp. 723 - 746,泭, ROS ID:泭
  25. Krueger R; Bierlaire M; Daziano RA; Rashidi TH; Bansal P, (2021), Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity,泭Journal of Choice Modelling, vol. 41,泭, ROS ID:泭
  26. Li C; Bai L; Liu W; Yao L; Travis Waller S, (2021), Urban mobility analytics: A deep spatialtemporal product neural network for traveler attributes inference,泭Transportation Research Part C: Emerging Technologies, vol. 124, pp. 102921 - 102921,泭, ROS ID:泭
  27. Li C; Bai L; Liu W; Yao L; Waller ST, (2021), A multi-task memory network with knowledge adaptation for multimodal demand forecasting,泭Transportation Research Part C: Emerging Technologies, vol. 131, pp. 103352 - 103352,泭, ROS ID:泭
  28. Li X; Hossein Rashidi T; Koo TTR, (2021), Exploring the temporal travel choices: a joint modelling of how long to travel and when,泭Current Issues in Tourism, vol. 24, pp. 2532 - 2553,泭, ROS ID:泭
  29. Liu W; Qu X; Sumalee A; Geroliminis N, (2021), Integrated analysis for Transportation Systems in the Connected Era,泭Transportmetrica A: Transport Science, vol. 17, pp. 169 - 170,泭, ROS ID:泭
  30. Liu W; Zhang F; Yang H, (2021), Modeling and managing the joint equilibrium of destination and parking choices under hybrid supply of curbside and shared parking,泭Transportation Research Part C: Emerging Technologies, vol. 130, pp. 103301 - 103301,泭, ROS ID:泭
  31. Ma M; Liu W; Li X; Zhang F; Jian S; Dixit V, (2021), Quantifying service-reliability-based day-to-day evolution of travel choices in public transit systems with smart transit card data,泭Transportmetrica B, vol. 9, pp. 519 - 551,泭, ROS ID:泭
  32. Mansourianfar MH; Gu Z; Waller ST; Saberi M, (2021), Joint routing and pricing control in congested mixed autonomy networks,泭Transportation Research Part C: Emerging Technologies, vol. 131,泭, ROS ID:泭
  33. Moylan EKM; Bliemer MCJ; Hossein Rashidi T, (2021). Travellers perceptions of travel time reliability in the presence of rare events.泭Transportation. doi:, ROS ID:泭
  34. Munawar HS; Hammad AWA; Haddad A; Soares CAP; Waller ST, (2021), Image-based crack detection methods: A review,泭Infrastructures, vol. 6, pp. 115 - 115,泭, ROS ID:泭
  35. Munawar HS; Hammad AWA; Waller ST, (2021), A review on flood management technologies related to image processing and machine learning,泭Automation in Construction, vol. 132,泭, ROS ID:泭
  36. Munawar HS; Hammad AWA; Waller ST; Thaheem MJ; Shrestha A, (2021), An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review,泭Sustainability (Switzerland), vol. 13, pp. 7925 - 7925,泭, ROS ID:泭
  37. Najmi A; Bostanara M; Gu Z; Rashidi TH, (2021), On-street parking management and pricing policies: An evaluation from a system enhancement perspective,泭Transportation Research Part A: Policy and Practice, vol. 146, pp. 128 - 151,泭, ROS ID:泭
  38. Najmi A; Nazari S; Safarighouzhdi F; Miller EJ; MacIntyre R; Rashidi TH, (2021), Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model,泭Transportation,泭, ROS ID:泭
  39. Najmi A; Nazari S; Safarighouzhdi F; MacIntyre RC; Miller EJ; Rashidi TH, (2021), Facemask and social distancing, pillars of opening up economies,泭PLoS ONE, vol. 16, pp. e0249677,泭, ROS ID:泭
  40. Nourmohammadi F; Mansourianfar M; Shafiei S; Gu Z; Saberi M, (2021), An open GMNS dataset of a dynamic multi-modal transportation network model of Melbourne, Australia,泭Data, vol. 6, pp. 1 - 9,泭, ROS ID:泭
  41. Nourmohammadi Z; Lilasathapornkit T; Ashfaq M; Gu Z; Saberi M, (2021), Mapping urban environmental performance with emerging data sources: A case of urban greenery and traffic noise in Sydney, Australia,泭Sustainability (Switzerland), vol. 13, pp. 1 - 16,泭, ROS ID:泭
  42. Ranaweera M; Seneviratne A; Rey D; Saberi M; Dixit VV, (2021), Detection of anomalous vehicles using physics of traffic,泭Vehicular Communications, vol. 27, pp. 100304 - 100304,泭, ROS ID:泭
  43. Rey D; Levin MW; Dixit VV, (2021), Online incentive-compatible mechanisms for traffic intersection auctions,泭European Journal of Operational Research, vol. 293, pp. 229 - 247,泭, ROS ID:泭
  44. Shaaban K; Shakeel K; Rashidi TH; Kim I, (2021), Measuring users satisfaction of the road network using structural equation modeling,泭International Journal of Sustainable Transportation,泭, ROS ID:泭
  45. Shahriari S; Hossein Rashidi T; Azad AKM; Vafaee, F. (n.d.), COVIDSpread: real-time prediction of COVID-19 spread based on time-series modelling.泭F1000Research,泭10, 1110. doi:, ROS ID:泭
  46. Shahirari S; Rashidi T; Dixit V; Robson E, (2021), Assessing economic benefits of transport projects using an integrated transport-CGE approach,泭Research in Transportation Economics,泭, ROS ID:泭
  47. Shakeel K; Hossein Rashidi T, (2021), Incorporating active and non-active mode preferences for departure time choice behavior.泭Transportation Letters. doi:, ROS ID:泭
  48. Shakibaei S; de Jong GC; Alpk繹kin P; Rashidi TH, (2021), Impact of the COVID-19 pandemic on travel behavior in Istanbul: A panel data analysis,泭Sustainable Cities and Society, vol. 65,泭, ROS ID:泭
  49. Sinha A; Bassil D; Chand S; Virdi N; Dixit V, (2021), Impact of Connected Automated Buses in a Mixed Fleet Scenario With Connected Automated Cars,泭IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 12,泭, ROS ID:泭
  50. Sinha A; Chand S;泭 Vu V; Chen H; Dixit V, (2021), Crash and disengagement data of autonomous vehicles on public roads in California.泭Scientific Data,泭8(1). doi:, ROS ID:泭
  51. Sinha A; Vu V; Chand S; Wijayaratna K; Dixit V, (2021), A crash injury model involving autonomous vehicle: Investigating of crash and disengagement reports,泭Sustainability (Switzerland), vol. 13,泭, ROS ID:泭
  52. Smith J; Waite C; Lohm D; Saberi M; Arunachalam D, (2021), Understanding the Lived Experiences of Housing and Transport Stress in the Affordable Outer Ring: A Case Study of Melbourne, Australia,泭Urban Policy and Research, vol. 39, pp. 191 - 207,泭, ROS ID:泭
  53. Song C; Monteil J; Ygnace JL; Rey D, (2021), Incentives for Ridesharing: A Case Study of Welfare and Traffic Congestion,泭Journal of Advanced Transportation, vol. 2021, pp. 1 - 15,泭, ROS ID:泭
  54. Waller ST; Chand S; Zlojutro A; Nair D; Niu C; Wang J; Zhang X; Dixit VV, 2021, 'Rapidex: A novel tool to estimate origindestination trips using pervasive traffic data',泭Sustainability (Switzerland), vol. 13, pp. 11171 - 11171,泭, ROS ID:泭
  55. Wang X; Wang J; Guo L; Liu W; Zhang X, (2021), A convex programming approach for ridesharing user equilibrium under fixed driver/rider demand,泭Transportation Research Part B: Methodological, vol. 149, pp. 33 - 51,泭, ROS ID:泭
  56. Wu W; Liu W; Zhang F; Dixit V, (2021), A New Flexible Parking Reservation Scheme for the Morning Commute under Limited Parking Supplies,泭Networks and Spatial Economics, vol. 21, pp. 513 - 545,泭, ROS ID:泭
  57. Wu W; Liu Y; Liu W; Zhang F; Dixit V; Waller ST, (2021). Autonomous Intersection Management for Connected and Automated Vehicles: A Lane-Based Method.泭IEEE Transactions on Intelligent Transportation Systems, 1-16. doi:, ROS ID:泭
  58. Xi H; He L; Zhang Y; Wang Z, (2021), Differentiable road pricing for environment-oriented electric vehicle and gasoline vehicle users in the bi-objective transportation network,泭Transportation Letters, pp. 1 - 15,泭
  59. Xu G; Liu W; Wu R; Yang H, (2021), A double time-scale passenger assignment model for high-speed railway networks with continuum capacity approximation,泭Transportation Research Part E: Logistics and Transportation Review, vol. 150, pp. 102305 - 102305,泭, ROS ID:泭
  60. Yazdani M; Mojtahedi M; Loosemore M; Sanderson D; Dixit V, (2021), Hospital evacuation modelling: A critical literature review on current knowledge and research gaps,泭International Journal of Disaster Risk Reduction, vol. 66, pp. 102627 - 102627,泭, ROS ID:泭
  61. Zandavi SM; Rashidi TH; Vafaee F. (2021). Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty.泭IEEE Transactions on Cybernetics. doi:, ROS ID:泭
  62. Zhang F; Liu W, (2021), An economic analysis of integrating bike sharing service with metro systems,泭Transportation Research Part D: Transport and Environment, vol. 99, pp. 103008 - 103008,泭, ROS ID:泭
  63. Zhang X; Robson E; Waller ST, (2021), An integrated transport and economic equilibrium model for autonomous transportation systems considering parking behavior,泭Computer-Aided Civil and Infrastructure Engineering, vol. 36, pp. 902 - 921,泭, ROS ID:泭
  1. Ardeshiri A; Rashidi TH, (2020), Willingness to pay for fast charging station for electric vehicles with limited market penetration making.泭Energy Policy,泭147, 111822. doi:
  2. Bansal P; Krueger R;泭 Bierlaire M; Daziano RA; Rashidi TH, (2020), Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations.泭Transportation Research Part B: Methodological,泭131, 124-142. doi:泭ROS ID:泭
  3. Bennett JM; Challinor KL; Modesto O; Prabhakharan P, (2020), Attribution of blame of crash causation across varying levels of vehicle automation.泭Safety Science,泭132. doi:
  4. Chand S;Moylan E; Waller, ST; Dixit V, (2020), Analysis of vehicle breakdown frequency: A case study of new south wales, Australia.泭Sustainability (Switzerland),泭12(19). doi:
  5. Chen R; Hu J; Levin MW; Rey泭 D, (2020), Stability-based analysis of autonomous intersection management with pedestrians.泭Transportation Research Part C: Emerging Technologies,泭114, 463-483. doi:
  6. Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, (2020), Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.泭arXiv preprint arXiv:2004.08068.
  7. Dias FHC; Rey D, (n.d.), Robust aircraft conflict resolution under trajectory prediction uncertainty. Retrieved from泭
  8. Dixit V; Nair DJ;泭 Chand S; Levin MW (2020), A simple crowdsourced delay-based traffic signal control.泭PLoS ONE,泭15(4). doi:泭ROS ID:泭
  9. Dong X; Chow JY; Waller ST; Rey D, (n.d.), A chance-constrained dial-a-ride problem with utility-maximizing demanand multiple pricing structures. Retrieved from泭
  10. Dong X; Rey D; Waller ST, (2020), Dial-a-Ride Problem with Users' Accept/Reject Decisions Based on Service Utilities.泭Transportation Research Record,泭2674(10), 55-67. doi:
  11. Gong S; Ardeshiri A; Hossein Rashidi T, (2020), Impact of government incentives on the market penetration of electric vehicles in Australia.泭Transportation Research Part D: Transport and Environment,泭83. doi:泭ROS ID:泭
  12. Grzybowska H; Kerferd B; Gretton C; Travis Waller S, (2020), A simulation-optimisation genetic algorithm approach to product allocation in vending machine systems.泭Expert Systems with Applications,泭145. doi:
  13. Gu Z; Najmi A; Saberi M; Liu W; Rashidi TH, (2020), Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking.泭Transportation Research Part C: Emerging Technologies,泭118. doi:
  14. Hammad AW; Grzybowska H; Sutrisna M; Akbarnezhad A; Haddad A, (2020), A novel mathematical optimisation model for the scheduling of activities in modular construction factories.泭Construction Management and Economics,泭38(6), 534-551. doi:
  15. He L; Xi H; Guo T; Tang K, (2020), A Generalized Dynamic Potential Energy Model for Multiagent Path Planning.泭Journal of Advanced Transportation,泭2020. doi:
  16. Jian S; Liu W; Wang X; Yang, H; Waller ST, (2020), On integrating carsharing and parking sharing services.泭Transportation Research Part B: Methodological,泭142, 19-44. doi:
  17. Jiao J; Wang J; Zhang F; Jin F; Liu W, (2020). Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China.泭Transport Policy,泭91, 1-15. doi:泭ROS ID:泭
  18. Krueger R; Rashidi T H; Vij A, (2020), A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles.泭Journal of Choice Modelling,泭36. doi:
  19. Levin MW; Duell M; Waller ST, (2020), Arrival Time Reliability in Strategic User Equilibrium.泭Networks and Spatial Economics,泭20(3), 803-831. doi:
  20. Li C; Bai L; Liu W; Yao L; Waller ST, (2020), Graph Neural Network for Robust Public Transit Demand Prediction.泭IEEE Transactions on Intelligent Transportation Systems, 1-13. doi:
  21. Li, X., Hossein Rashidi, T., & Koo, T. T. R. (2020). Exploring the temporal travel choices: a joint modelling of how long to travel and when.泭Current Issues in Tourism. doi:
  22. Liu, W., Wu, W., Thakuriah, P., & Wang, J. (2020). The geography of human activity and land use: A big data approach.泭Cities,泭97. doi:泭ROS ID:泭
  23. Moran, C., Bennett, J. M., & Prabhakharan, P. (2020). The relationship between cognitive function and hazard perception in younger drivers.泭Transportation Research Part F: Traffic Psychology and Behaviour,泭74, 104-119. doi:
  24. Najmi, A., Rey, D., Waller, S. T., & Rashidi, T. H. (2020). Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models.泭Transportation Research Part C: Emerging Technologies,泭121. doi:
  25. Patil, G. R., Basu, R., & Rashidi, T. H. (2020). Mode Choice Modeling Using Adaptive Data Collection for Different Trip Purposes in Mumbai Metropolitan Region.泭Transportation In Developing Economies,泭6(1), 10 pages. doi:
  26. Qi, Z., Lim, S., & Hossein Rashidi, T. (2020). Assessment of transport equity to Central Business District (CBD) in Sydney, Australia.泭Transportation Letters,泭12(4), 246-256. doi:泭ROS ID:泭
  27. Rashidi, T. H., Najmi, A., Haider, A., Wang, C., & Hosseinzadeh, F. (2020). What we know and do not know about connected and autonomous vehicles.泭Transportmetrica A: Transport Science,泭16(3), 987-1029. doi:泭ROS ID:泭
  28. Rashidi, T. H., Waller, T., & Axhausen, K. (2020). Reduced value of time for autonomous vehicle users: Myth or reality?.泭Transport Policy,泭95, 30-36. doi:
  29. Rey, D., & Bar-Gera, H. (2020). Long-term scheduling for road network disaster recovery.泭International Journal of Disaster Risk Reduction,泭42. doi:
  30. Saberi Kalaee, M., Jayakumar Nair, D., Dixit, V., Waller, S., Ashfaq, M., & Gardner, L. (2020). A simple contagion process describes spreading of traffic jams in urban networks.泭Nature Communications. doi:泭ROS ID:泭
  31. Saberi M; Hamedmoghadam H; Madani K; Dolk HM; Morgan AS; Morris JK; Khoshnood K; Khoshnood B, 2020, Accounting for Underreporting in Mathematical Modeling of Transmission and Control of COVID-19 in Iran,泭Frontiers in Physics, vol. 8,泭, ROS ID:泭
  32. Saedi, R., Saeedmanesh, M., Zockaie, A., Saberi, M., Geroliminis, N., & Mahmassani, H. S. (2020). Estimating network travel time reliability with network partitioning.泭Transportation Research Part C: Emerging Technologies,泭112, 46-61. doi:泭ROS ID:泭
  33. Saxena, N., Hossein Rashidi, T., Babana, J., & Cheung, C. (2020). Pedestrian Characteristics That Favor Desire Lines despite Closure.泭Journal of Urban Planning and Development,泭146(2). doi:泭ROS ID:泭
  34. Saxena, N., Rashidi, T., & Rey, D. (2020). Determining the market uptake of demand responsive transport enabled public transport service.泭Sustainability (Switzerland),泭12(12). doi:
  35. Saxena, N., Wang, R., Dixit, V. V., & Waller, S. T. (2020). Frequentist and bayesian approaches for understanding route choice of drivers under stop-and-go traffic.泭Transportation Research Record,泭2674(9), 371-382. doi:
  36. Shahriari, S., Ghasri, M., Sisson, S. A., & Rashidi, T. (2020). Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction.泭Transportmetrica A: Transport Science,泭16(3), 1552-1573. doi:
  37. Sinha, A., Chand, S., Wijayaratna, K. P., Virdi, N., & Dixit, V. (2020). Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles.泭Accident Analysis and Prevention,泭142. doi:泭ROS ID:泭
  38. Siripanich, A., & Rashidi, T. H. (2020). Dymium: A modular microsimulation modelling framework for integrated urban modelling.泭SoftwareX,泭12. doi:
  39. Wei, B., Saberi, M., Zhang, F., Liu, W., & Waller, S. T. (2020). Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach.泭Transportation Research Part C: Emerging Technologies,泭117, 102670. doi:
  40. Wu, W., Liu, Y., Liu, W., Wu, G. H., & Ma, W. J. (2020). A Novel Autonomous Vehicle Trajectory Planning and Control Model for Connected-and-Autonomous Intersections.泭Zidonghua Xuebao/Acta Automatica Sinica,泭46(9), 1971-1985. doi:
  41. Wu, W., Zhang, F., Liu, W., & Lodewijks, G. (2020). Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets.泭Transportation Research Part E: Logistics and Transportation Review,泭134, 101855. doi:泭ROS ID:泭
  42. Xi, H., He, L., Zhang, Y., & Wang, Z. (2020). Bounding the efficiency gain of differentiable road pricing for EVs and GVs to manage congestion and emissions.泭PLoS ONE,泭15(7 July). doi:
  43. Xi, H., Liu, W., Rey, D., Waller, S. T., & Kilby, P. (n.d.). Incentive-compatible mechanisms for continuous resource allocation in mobility-as-a-service: Pay-as-You-Go and Pay-as-a-Package. Retrieved from泭
  44. Yang, Z., Li, C., Jiao, J., Liu, W., & Zhang, F. (2020). On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China.泭Transport Policy,泭99, 20-30. doi:
  45. Zhang, F., Liu, W., Lodewijks, G., & Travis Waller, S. (2020). The short-run and long-run equilibria for commuting with autonomous vehicles.泭Transportmetrica B, 1-28. doi:
  46. Zhang, F., Liu, W., Wang, X., & Yang, H. (2020). Parking sharing problem with spatially distributed parking supplies.泭Transportation Research Part C: Emerging Technologies,泭117, 102676. doi:
  47. Zhang, F., Yang, Z., Jiao, J., Liu, W., & Wu, W. (2020). The effects of high-speed rail development on regional equity in China.泭Transportation Research Part A: Policy and Practice,泭141, 180-202. doi:
  48. Zhang, X., Robson, E., & Waller, S. T. (2020). An integrated transport and economic equilibrium model for autonomous transportation systems considering parking behavior.泭Computer-Aided Civil and Infrastructure Engineering. doi:

2019

  1. Arbis, D., & Dixit, V. V. (2019). Game theoretic model for lane changing: Incorporating conflict risks.泭Accident Analysis and Prevention,泭125, 158-164. doi:泭and泭
  2. Ardeshiri, A., & Vij, A. (2019). Lifestyles, residential location, and transport mode use: A hierarchical泭 latent class choice model.泭Transportation Research Part A: Policy and Practice. doi:
  3. Ardeshiri, A., Ghasrodashti, R. E., Rashidi, T. H., Ardeshiri, M., & Willis, K. (2019). Conservation or deterioration in heritage sites? Estimating willingness泭 to pay for preservation. Retrieved from泭
  4. Ardeshiri, A., Sampson, S., & Swait, J. (2019). Seasonality effects on consumers' preferences over quality attributes of different beef products.泭Meat Science,泭157. doi:
  5. Ardeshiri, A., Swait, J., Heagney, E. C., & Kovac, M. (2019). Willingness-to-pay for coastline protection in New South Wales: Beach preservation management and decision making.泭Ocean & Coastal Management,泭泭178, 16 pages. doi:
  6. Akhtar, M., Kraemer, M.U.G., & Gardner, L.M., (2019). A dynamic neural network model for predicting risk of Zika in real time,泭BMC Medicine, vol. 17: 171,泭doi:泭
  7. Bansal, P., Krueger, R., Bierlaire, M., Daziano, R.A., & Rashidi, T.H.,泭 (2019).泭泭P'olygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models泭
  8. Bliemer, M.C.J.,泭 Waller, S.T.,泭 Bell, M.G.H., & Hickman, M.D., (2019). Special issue on dynamic traffic assignment for general transport networks,泭Transportation Research Part B: Methodological, vol. 126, pp. 307 - 308,泭
  9. Chakraborty, S., Rey, D., Levin, M. W., & Waller, S. T. (n.d.). Benders' decomposition for freeway network design under endogenous autonomous vehicles demand. Retrieved from泭
  10. Cunningham, M. L., Regan, M. A., Horberry, T., Weeratunga, K., & Dixit, V. (2019). Public opinion about automated vehicles in Australia: Results from a large-scale national survey.泭Transportation Research Part A: Policy and Practice,泭129, 1-18. doi:
  11. Cunningham, M. L., Regan, M. A., Ledger, S. A., & Bennett, J. M. (2019). To buy or not to buy? Predicting willingness to pay for automated vehicles based on public opinion.泭Transportation Research Part F: Traffic Psychology and Behaviour,泭65, 418-438. doi:
  12. Dixit, V., Jian, S., Hassan, A., & Robson, E. (2019). Eliciting perceptions of travel time risk and exploring its impact on value of time.泭Transport Policy,泭82, 36-45. doi:泭
  13. Dixit, V., Xiong, Z., Jian, S., & Saxena, N. (2019). Risk of automated driving: Implications on safety acceptability and productivity.泭Accident Analysis and Prevention,泭125, 257-266. doi:
  14. Duell, M., Grzybowska, H., Rey, D., & Waller S.T., (2019).泭Strategic dynamic traffic assignment incorporating travel demand uncertainty,泭Transportmetrica B: Transport Dynamics泭7 (1), 950-966, doi:泭
  15. Ghasrikhouzani, M., Ardeshiri, A., & Hossein Rashidi, T. (2019). Perception towards Electric Vehicles and the Impact on Consumers' Preference.泭Transportation Research Part D: Transport and Environment,泭77, 271-291. doi:
  16. Giummarra, M. J., Amoh-Gyimah, R., Saberi, M., & Gabbe, B. J. (2019). Geographic variations in reported and treated pain and mental health problems in the first two years after transport-related major trauma.泭Journal of Transport and Health,泭14. doi:
  17. Grzybowska, H., Willmott, S., & Waller, S.T., (2019). The impact of global on-line information provision on transport networks and how random early etection can help,泭Transportmetrica B, vol. 7, pp. 1356 - 1377,泭
  18. Gu, Z., & Saberi, M. (2019). A bi-partitioning approach to congestion pattern recognition in a congested monocentric city.泭Transportation Research Part C: Emerging Technologies,泭109, 305-320. doi:
  19. Gu, Z., Waller, S. T., & Saberi, M. (2019). Surrogate-based toll optimization in a large-scale heterogeneously congested network.泭Computer-Aided Civil and Infrastructure Engineering,泭34(8), 638-653. doi:
  20. Hamdar, S. H., Dixit, V. V., Talebpour, A., & Treiber, M. (2019). A behavioral microeconomic foundation for car-following models.泭Transportation Research Part C: Emerging Technologies. doi:
  21. Hamedmoghadam, H., Ramezani, M., & Saberi, M. (2019). Revealing latent characteristics of mobility networks with coarse-graining.泭Scientific Reports,泭9(1). doi:
  22. Hammad, A. W. A., Rey, D., Bu-Qammaz, A., Grzybowska, H., & Akbarnezhad, A. (2019). Mathematical optimization in enhancing the sustainability of aircraft trajectory: A review.泭International Journal of Sustainable Transportation. doi:
  23. Hassan, M. N., Najmi, A., & Rashidi, T. H. (2019). A two-stage recreational destination choice study incorporating fuzzy logic in discrete choice modelling.泭Transportation Research Part F: Traffic Psychology and Behaviour,泭67, 123-141. doi:
  24. Heagney, E., Rose, J., Ardeshiri, A., & Kovac, M. (2019). The economic value of tourism and recreation across a large protected area network.泭Land Use Policy,泭88. doi:
  25. Jian S., Rey D.,泭 & Dixit V. (2019).泭 An Integrated Supply-Demand Approach to Solving Optimal Relocations in Station-Based Carsharing Systems,泭Networks and Spatial Economics, vol. 19, pp. 611 - 632,泭
  26. Jayakumar Nair, D. (2019). A simple contagion process describes spreading of traffic jams in urban networks.泭arxiv. Retrieved from泭arxiv:1906.00585
  27. Kavianipour, M., Saedi, R., Zockaie, A., & Saberi, M. (2019). Traffic State Estimation in Heterogeneous Networks with Stochastic Demand and Supply: Mixed LagrangianEulerian Approach.泭Transportation Research Record. doi:
  28. Krueger,泭R.,泭Bansal, P., Bierlaire, M., Daziano, R.A., & Rashidi, T.H.,泭 (2019).泭Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter-and Intra-Individual Heterogeneity泭
  29. Krueger, R., Rashidi, T. H., & Auld, J. (2019). Preferences for travel-based multitasking: Evidence from a survey among public transit users in the Chicago metropolitan area.泭Transportation Research Part F: Traffic Psychology and Behaviour,泭65, 334-343. doi:
  30. Krueger, R., Rashidi, T. H., & Dixit, V. V. (2019). Autonomous driving and residential location preferences: Evidence from a stated choice survey.泭Transportation Research Part C: Emerging Technologies,泭108, 255-268. doi:
  31. Krueger, R., Rashidi, T. H., & Vij, A. (2019). X vs. Y: an analysis of intergenerational differences in transport mode use among young adults.泭Transportation. doi:
  32. L獺szl籀, H.,泭繚B籀ta, A.,泭Kr矇sz, M.,泭Khani, A & Gardner, L.M.,泭(2019)泭Discovering the Hidden Community Structure of Public Transportation Networks,泭Networks and Spatial Economics泭泭20:209231泭
  33. Levin, M. W., Rey, D., & Schwartz, A. (2019). Max-pressure control of dynamic lane reversal and autonomous intersection management.泭Transportmetrica B,泭7(1), 1693-1718. doi:
  34. Liu, W., & Szeto, W. Y. (2019). Learning and managing stochastic network traffic dynamics with an aggregate traffic representation.泭Transportation Research Part B: Methodological. doi:
  35. Mohajerpoor, R., Saberi, M., & Ramezani, M. (2019). Analytical derivation of the optimal traffic signal timing: Minimizing delay variability and spillback probability for undersaturated intersections.泭Transportation Research Part B: Methodological,泭119, 45-68. doi:
  36. Mohajerpoor, R., Saberi, M., Vu, H. L., Garoni, T. M., & Ramezani, M. (2019). H泭robust perimeter flow control in urban networks with partial information feedback.泭Transportation Research Part B: Methodological. doi:
  37. Moran, C., Bennett, J., & Prabhakharan, P. (2019). Road user hazard perception tests: A systematic review of current methodologies.泭Accident Analysis and Prevention,泭129, 309-333. doi:
  38. Nair, D. J., Gilles, F., Chand, S., Saxena, N., & Dixit, V. (2019). Characterizing multicity urban traffic conditions using crowdsourced data.泭PLoS ONE,泭14(3). doi:
  39. Najmi, A., Rashidi, T.H., & Miller, E.J., (2019). A novel approach for systematically calibrating transport planning model systems,泭Transportation, vol. 46, pp. 1915 - 1950,泭
  40. Najmi, A., Rashidi, T. H., Vaughan, J., & Miller, E. J. (n.d.). Calibration of large-scale transport planning models: a structured approach.泭Transportation. doi:
  41. Perrine,泭K.A.,泭泭Levin, M.W., Yahia, C.N., Duell, M., & Boyles, S.D., (2019).泭 Implications of traffic signal cybersecurity on potential deliberate traffic disruptions,泭Transportation research part A: policy and practice泭120, 58-70,泭
  42. Qi, Z., Lim, S., & Hossein Rashidi, T. (2019). Assessment of transport equity to Central Business District (CBD) in Sydney, Australia.泭Transportation Letters. doi:
  43. Rey, D., & Bar-Gera, H. (2019). Long-term scheduling for road network disaster recovery.泭International Journal of Disaster Risk Reduction. doi:
  44. Rey, D., Bar-Gera, H., Dixit, V. V., & Waller, S. T. (2019). A Branch-and-Price Algorithm or the Bilevel Network Maintenance Scheduling Problem.泭Transportation Science,泭53(5), 1455-1478. doi:
  45. Rey, D., & Levin, M.W., (2019). Blue phase: Optimal network traffic control for legacy and autonomous vehicles,泭Transportation Research Part B: Methodological, vol. 130, pp. 105 - 129,泭
  46. Sarkar, S., Zlojutro, A., Khan, K., & Gardner, L. (2019). Measles resurgence in the USA: how international travel compounds vaccine resistance.泭The Lancet Infectious Diseases,泭19(7), 684-686. doi:
  47. Saxena, N., Hossein Rashidi, T., & Auld, J. (2019). Studying the tastes effecting mode choice behavior of travelers under transit service disruptions.泭Travel Behaviour and Society,泭17, 86-95. doi:
  48. Shahbazi, B., Akbarnezhad, A., Rey, D., Ahmadian Fard Fini, A., & Loosemore, M. (2019). Optimization of job allocation in construction organizations to maximize workers' career development opportunities.泭Journal of Construction Engineering and Management,泭145(6). doi:
  49. Siripanich, A., Rashidi, T. H., & Moylan, E. (2019). Interaction of public transport accessibility and residential property values using smart card data.泭Sustainability (Switzerland),泭11(9). doi:
  50. Taherifar, N., Hamedmoghadam, H., Sree, S., & Saberi, M. (2019). A macroscopic approach for calibration and validation of a modified social force model for bidirectional pedestrian streams.泭Transportmetrica A: Transport Science,泭15(2), 1637-1661. doi:
  51. Virdi, N., Grzybowska, H., Waller, S. T., & Dixit, V. (2019). A safety assessment of mixed fleets with Connected and Autonomous Vehicles using the Surrogate Safety Assessment Module.泭Accident Analysis and Prevention.泭doi:泭泭
  52. Wang, X., Liu, W., Yang, H., Wang, D., & Ye, J. (2019). Customer behavioural modelling of order cancellation in coupled ride-sourcing and taxi markets.泭Transportation Research Part B: Methodological. doi:
  53. Wijayaratna, K. P., Cunningham, M. L., Regan, M. A., Jian, S., Chand, S., & Dixit, V. V. (2019). Mobile phone conversation distraction: Understanding differences in impact between simulator and naturalistic driving studies.泭Accident Analysis and Prevention,泭129, 108-118. doi:
  54. Wu, W., Liu, Y., Liu, W., Zhang, F., Rey, D., & Dixit, V. (2019). An integrated approach for optimizing left-turn forbiddance decisions at multiple intersections.泭Transportmetrica B: Transport Dynamics,泭7(1), 1481-1504. doi:
  55. Zhang, X., Liu, W., & Waller, S. T. (2019). A network traffic assignment model for autonomous vehicles with parking choices.泭Computer-Aided Civil and Infrastructure Engineering,泭34, 1100-1118. doi:
  56. Zhang, X., Liu, W., Waller, S. T., & Yin, Y. (2019). Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment.泭Transportation Research Part B: Methodological,泭128, 380-407. doi:
  57. Zhang, X., Rey, D., Waller, S. T., & Chen, N. (2019). Range-Constrained Traffic Assignment with Multi-Modal Recharge for Electric Vehicles.泭Networks and Spatial Economics,泭19(2), 633-668. doi:
  58. Zhang, X.,泭 Waller, S.T.,泭 Rey, D., & Duell, M., (2019). Integrating uncertainty considerations into multi-objective transportation network design projects accounting for environment disruption,泭Transportation Letters, vol. 11, pp. 351 - 361,泭
  59. Zhu, Z., Li, X., Liu, W., & Yang, H. (2019). Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions.泭Transportation Research Part E: Logistics and Transportation Review,泭131, 168-192. doi:
  60. Zlojutro, A., Rey, D., & Gardner, L. (2019). A decision-support framework to optimize border control for global outbreak mitigation.泭Scientific Reports,泭9(1). doi

2018

  1. Ahmadian Fard Fini, A., Akbarnezhad, A., Rashidi, T. H., & Waller, S. T. (2018). Enhancing the safety of construction crew by accounting for brain resource requirements of activities in job assignment.泭Automation in Construction,泭88, 31-43. doi:
  2. Alsalhi, R., Dixit, V. V., & Gayah, V. V. (2018). On the existence of network macroscopic safety diagrams: Theory, simulation and empirical evidence.泭PLoS ONE,泭13(8). doi:
  3. Ardeshiri, A., & Rose, J. M. (2018). How Australian consumers value intrinsic and extrinsic attributes of beef products.泭Food Quality and Preference,泭65, 146-163. doi:
  4. Caponecchia, C., Zheng, W. Y., & Regan, M. A. (2018). Selecting trainee pilots: Predictive validity of the WOMBAT situational awareness pilot selection test.泭Applied Ergonomics,泭73, 100-107. doi:
  5. Chakraborty, S., Rey, D., Moylan, E., & Waller, S. T. (2018). Link Transmission Model-Based Linear Programming Formulation for Network Design.泭Transportation Research Record. doi:
  6. Chand, S., & Dixit, V. V. (2018). Application of Fractal theory for crash rate prediction: Insights from random parameters and latent class tobit models.泭Accident Analysis and Prevention,泭112, 30-38. doi:
  7. Etminani-Ghasrodashti, R., Paydar, M., & Ardeshiri, A. (2018). Recreational cycling in a coastal city: Investigating lifestyle, attitudes and built environment in cycling behavior.泭Sustainable Cities and Society,泭39, 241-251. doi:
  8. Ghasrikhouzani, M., Hossein Rashidi, T., & Saberi Kalaee, M. (2018). Comparing Survival Analysis and Discrete Choice Specifications Simulating Dynamics of Vehicle Ownership.泭Transportation Research Record. doi:
  9. Gu, Z., Shafiei, S., Liu, Z., & Saberi, M. (2018). Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram.泭Transportation Research Part C: Emerging Technologies,泭95, 1-28. doi:
  10. Hatfield, J., Williamson, A., Kehoe, E. J., Lemon, J., Arguel, A., Prabhakharan, P., & Job, R. F. S. (2018). The effects of training impulse control on simulated driving.泭Accident Analysis and Prevention,泭119, 1-15. doi:
  11. Heagney, E. C., Rose, J. M., Ardeshiri, A., & Kova, M. (2018). Optimising recreation services from protected areas Understanding the role of natural values, built infrastructure and contextual factors.泭Ecosystem Services,泭31, 358-370. doi:
  12. Jian, S., Rey, D., & Dixit, V. (2018). An Integrated Supply-Demand Approach to Solving Optimal Relocations in Station-Based Carsharing Systems.泭Networks and Spatial Economics, 1-22. doi:
  13. Li, X., Liu, W., & Yang, H. (2018). Traffic dynamics in a bi-modal transportation network with information provision and adaptive transit services.泭Transportation Research Part C: Emerging Technologies,泭91, 77-98. doi:
  14. Li, X., Rey, D., & Dixit, V. V. (2018). An axiomatic characterization of fairness in transport networks: Application to road pricing and spatial equity.泭Transport Policy,泭68, 142-157. doi:
  15. Liu, W. (2018). An equilibrium analysis of commuter parking in the era of autonomous vehicles.泭Transportation Research Part C: Emerging Technologies,泭92, 191-207. doi:
  16. Moridpour, S., Chung, E. C. S., & Rashidi, T. (2018). Optimization Concepts in Traffic and Transportation Science.泭Journal of Advanced Transportation,泭2018. doi:
  17. Moylan, E., Chand, S., & Waller, S. T. (2018). Framework for estimating the impact of camera-based intelligent transportation systems (ITS) technology on incident duration.泭Transportation Research Record,泭2672(19), 25-33. doi:
  18. Nair, D. J., Gilles, F., Chand, S., Saxena, N., & Dixit, V. (2019). Characterizing multicity urban traffic conditions using crowdsourced data.泭PLoS ONE,泭14(3). doi:
  19. Najmi, A. N., Duell, M. D., Ghasrikhouzani, M., Hossein Rashidi, T. H. R., & waller, S. T. W. (2018). How Should Travel Demand and Supply Models Be Jointly Calibrated?.泭Transportation Research Record. doi:
  20. Najmi, A., Rashidi, T. H., & Miller, E. J. (2018). A novel approach for systematically calibrating transport planning model systems.泭Transportation. doi:
  21. Olmos, L. E., olak, S., Shafiei, S., Saberi, M., & Gonz獺lez, M. C. (2018). Macroscopic dynamics and the collapse of urban traffic.泭Proceedings of the National Academy of Sciences of the United States of America,泭115(50), 12654-12661. doi:
  22. Rey, D., Almiani, K., & Jayakumar Nair, D. (2018). Exact and heuristic algorithms for finding envy-free allocations in food rescue pickup and delivery logistics.泭Transportation Research Part E: Logistics and Transportation Review,泭112, 19-46. doi:
  23. Robson, E. N., Wijayaratna, K. P., & Dixit, V. V. (2018). A review of computable general equilibrium models for transport and their applications in appraisal.泭Transportation Research Part A: Policy and Practice,泭116, 31-53. doi:
  24. Saberi Kalaee, M. S. K., Hossein Rashidi, T. H. R., Ghasrikhouzani, M., & Ewe, K. E. (2018). A Complex Network Methodology for Travel Demand Model Evaluation and Validation.泭Networks and Spatial Economics. doi:
  25. Saxena, N., Hossein Rashidi, T., Dixit, V. V., & Waller, S. T. (2018). Modelling the Route Choice Behaviour under Stop-&-go Traffic for Different Car Driver Segments.泭Transportation Research Part A: Policy and Practice,泭119, 62-72. doi:
  26. Saxena, N., Rashidi, T. H., Dixit, V. V., & Waller, S. T. (2018). Effect of Number of Stop-&-gos Experienced on the Route Choice Behaviour of Car Drivers.泭Transportmetrica A: Transport Science. doi:
  27. Shafiei, S., Gu, Z., & Saberi, M. (2018). Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network.泭Simulation Modelling Practice and Theory,泭86, 169-186. doi:
  28. Shahhoseini, Z., Sarvi, M., & Saberi, M. (2018). Pedestrian crowd dynamics in merging sections: Revisiting the faster-is-slower phenomenon.泭Physica A: Statistical Mechanics and its Applications,泭491, 101-111. doi:
  29. Wen, T., Cai, C., Gardner, L., Waller, S. T., Dixit, V., & Chen, F. (2018). Estimation of sparse O-D matrix accounting for demand volatility.泭IET Intelligent Transport Systems,泭12(9), 1020-1026. doi:
  30. Xu, G., Liu, W., & Yang, H. (2018). A reliability-based assignment method for railway networks with heterogeneous passengers.泭Transportation Research Part C: Emerging Technologies,泭93, 501-524. doi:
  31. Xu, G., Yang, H., Liu, W., & Shi, F. (2018). Itinerary choice and advance ticket booking for high-speed-railway network services.泭Transportation Research Part C: Emerging Technologies,泭95, 82-104. doi:
  32. Zhang, X., & Waller, S. T. (2018). Implications of link-based equity objectives on transportation network design problem.泭Transportation, 1-31. doi:
  33. Zhang, X., & Waller, S. T. (2018). Link performance functions for high occupancy vehicle lanes of freeways.泭Transport,泭33(3), 657-668. doi:
  34. Zhang, X., & Waller, S. T. (2018). Mixed-Vehicular Aggregated Transportation Network Design Considering En-route Recharge Service Provision for Electric Vehicles.泭Journal of Systems Science and Complexity,泭31(5), 1329-1349. doi:
  35. Zhang, X., Rey, D., & Waller, S. T. (2018). Multitype Recharge Facility Location for Electric Vehicles.泭Computer-Aided Civil and Infrastructure Engineering,泭33(11), 943-965. doi:
  36. Zhang, Y., Yan, X., Li, X., Wu, J., & Dixit, V. V. (2018). Red-light-running crashes classification, comparison, and risk analysis based on general estimates system (GES) crash database.泭International Journal of Environmental Research and Public Health,泭15(6). doi:
2017
  1. 泭Ahmadian F.F., A., Akbarnezhad, A., Rashidi H., T., & Waller, S. T. (2017). A Dynamic Programming Approach towards Optimization of Workforce Planning Decisions.泭Journal of Construction Engineering and Management,泭doi:泭
  2. Ahmadian Fard Fini, A., Akbarnezhad, A., Hossein Rashidi, T., & Waller, S. T. (2017). BIM-enabled sustainability assessment of material supply decisions.泭Engineering, Construction and Architectural Management,泭24(4). Doi:泭
  3. Ahn, Y., Kowada, T., Tsukaguchi, H., & Vandebona, U. (2017). Estimation of Passenger Flow for Planning and Management of Railway Stations. In泭Transportation Research Procedia泭Vol. 25 (pp. 315-330). doi:
  4. Bagloee, S. A., Sarvi, M., Wolshon, B., & Dixit, V. (2017). Identifying critical disruption scenarios and a global robustness index tailored to real life road networks.泭Transportation Research Part E: Logistics and Transportation Review,泭98, 60-81. doi:.泭
  5. Bui, C.M., Gardner, L., Sarkar, S., MacIntyre, C.R., (2017) Influenza A H5N1 and H7N9 in China: A Spatial Risk Analysis. PLoS ONE, 10/2/2017. 泭.
  6. Chand, S., Aouad, G., Dixit, V.V. (2017) Long-range dependence of traffic flow and speed of a motorway: Dynamics and correlation with historical incidents.泭Transportation Research Record: Journal of the Transportation Research Board 2616,泭pp49-57.泭()
  7. Chand, S., Chandra, S., (2017). Improper stopping of buses at curbside bus stops: Reasons and implications.泭Transportation in Developing Economies, Vol. 3 (5). ()
  8. Chen, N., Rey, D., & Gardner, L. (2017). Multiscale network model for evaluating global outbreak control strategies.泭Transportation Research Record,泭2626(1), 42-50. doi:
  9. Dixit, V. V., Ortmann, A., Rutstr繹m, E. E., & Ukkusuri, S. V. (2017). Experimental Economics and choice in transportation: Incentives and context.泭Transportation Research Part C: Emerging Technologies,泭77, 161-184. doi:.泭
  10. Dixit, V., & Srinivasan, J. (2017). The role of boundary layer momentum advection in the mean location of the ITCZ.泭Journal of Earth System Science,泭126(6). doi:
  11. Gardner, L., Chen, N., & Sarkar, S., (2017) Vector Status of Aedes Species Determines Geographical Risk of Autochthonous Zika Virus Establishment. PLOS NTD.泭.
  12. Ghasri, M., Hossein Rashidi, T., & Waller, S. T. (2017). Developing a disaggregate travel demand system of models using data mining techniques.泭Transportation Research Part A: Policy and Practice,泭105, 138-153. doi:.
  13. Hammad, A. W. A., Akbarnezhad, A., & Rey, D. (2017). Bilevel Mixed-Integer Linear Programming Model for Solving the Single Airport Location Problem.泭Journal of Computing in Civil Engineering,泭31(5). doi:
  14. Hammad, A. W. A., Akbarnezhad, A., & Rey, D. (2017). Sustainable urban facility location: Minimising noise pollution and network congestion.泭Transportation Research Part E: Logistics and Transportation Review,泭107, 38-59. doi:
  15. Hammad, A. W. A., Rey, D., & Akbarnezhad, A. (2017). A cutting plane algorithm for the site layout planning problem with travel barriers.泭Computers and Operations Research,泭82, 36-51. doi:
  16. Jayakumar Nair, D., Rey, D., & Dixit, V. (2017). Fair Allocation and Cost-effective Routing Models for Food Rescue and Re-distribution.泭IISE Transactions. doi:
  17. Jian, S., Rashidi, T. H., & Dixit, V. (2017). An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models.泭Transportation Research Part A: Policy and Practice,泭103, 362-376. doi:
  18. Koo, T. T., Hossein Rashidi, T., Park, J., Wu, C., & Tseng, W. (2017). The Effect of Enhanced International Air Access on the Demand for Peripheral Tourism Destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia.泭Transportation Research Part A: Policy and Practice. doi:
  19. Langerudi, M. F., Javanmardi, M., Shabanpour, R., Rashidi, T. H., & Mohammadian, A. (2017). Incorporating in-home activities in ADAPTS activity-based framework: A sequential conditional probability approach.泭Journal of Transport Geography,泭61, 48-60. doi:
  20. Levin, M. W., & Rey, D. (2017). Conflict-point formulation of intersection control for autonomous vehicles.泭Transportation Research Part C: Emerging Technologies,泭85, 528-547. doi:
  21. Moylan, E. K. M., & Rashidi, T. H. (2017). Latent-Segmentation, Hazard-Based Models of Travel Time.泭IEEE Transactions on Intelligent Transportation Systems,泭18(8), 2174-2180. doi:
  22. Muscatello, D., Chughtai, A.A., Heywood, A., Gardner, L.M., Heslop, D.J., MacIntyre, C.R., (2017)泭.Emerging Infectious Diseases.泭
  23. Nair, D. J., Gilles, F., Chand, S., Saxena, N., & Dixit, V. (2019). Characterizing multicity urban traffic conditions using crowdsourced data.泭PLoS ONE,泭14(3). doi:
  24. Nair, D. J., grzybowska, H., Fu, Y., & Dixit, V. V. (2017). Scheduling and routing models for food rescue and delivery operations.泭Socio-Economic Planning Sciences. doi:
  25. Najmi, A., Rashidi, T. H., Abbasi, A., & Waller, S. T. (2017). Reviewing the transport domain: an evolutionary bibliometrics and network analysis.泭Scientometrics,泭110(2), 843-865. doi:
  26. Najmi, A., Rey, D., & Rashidi, T. H. (2017). Novel dynamic formulations for real-time ride-sharing systems.泭Transportation Research Part E: Logistics and Transportation Review,泭108, 122-140. doi:
  27. Pande, A., Chand, S., Saxena, N., Dixit, V., Loy, J., Wolshon, B., & Kent, J. D. (2017). A preliminary investigation of the relationships between historical crash and naturalistic driving.泭Accident Analysis and Prevention,泭101, 107-116. doi:.泭
  28. Pande, A., Chand, S., Saxena, N., Dixit, V.V., Loy, J., Wolshon, B., Kent, J.D., 2017. A preliminary investigation of the relationships between historical crash and naturalistic driving.泭Accident Analysis & Prevention, Vol.101, pp 107-116. ()
  29. Qu, X., Li, X., Wang, M., & Dixit, V. (2017). Advances in Modelling Connected and Automated Vehicles.泭Journal of Advanced Transportation,泭2017. doi:
  30. Regan, M., Cunningham, M., Dixit, V., Horberry, T., Bender, A., Weeratunga, K., and Hassan, A. (2017).泭Preliminary findings from the first Australian National Survey of Public Opinion about Automated and Driverless Vehicles. Australia: The Australia and New Zealand Driverless Vehicle Initiative (ADVI). Retrieved from泭
  31. Rey, D., & Hijazi, H. (2018). Complex number formulation and convex relaxations for aircraft conflict resolution. In泭2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017泭Vol. 2018-January (pp. 88-93). doi:
  32. Robson, E. N., & Dixit, V. V. (2017). A General Equilibrium Framework for Integrated Assessment of Transport and Economic Impacts.泭Networks and Spatial Economics,泭17(3), 989-1013. doi:
  33. Robson, E., & Dixit, V. V. (2017). Constructing a Database for Computable General Equilibrium Modeling of Sydney, Australia, Transport Network.泭Transportation Research Record, (2606), 54-62. doi:
  34. Saxena, N., Dixit, V. V., & Waller, S. T. (2017). Consistency between Convergence of Dynamic Assignment and Stochasticity of Microsimulation: Implication on the Number of Runs.泭Transportation Research Record: Journal of the Transportation Research Board,泭2667. doi:.
  35. Wen, T., Cai, C., Gardner, L., Dixit, V., Waller, S. T., & Chen, F. (2017). A Strategic User Equilibrium for Independently Distributed Origin-Destination Demands.泭Computer-Aided Civil and Infrastructure Engineering. doi:.
  36. Wen, T., Gardner, L., Dixit, V., Waller, S. T., Cai, C., & Chen, F. (2017). Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network.泭Computer-Aided Civil and Infrastructure Engineering. doi:.
  37. Wijayaratna, K. P., Dixit, V. V., Laurent, D. B., & Waller, S. T. (2017). An experimental study of the Online Information Paradox: Does en-route information improve road network performance?.泭PLoS ONE,泭12(9). doi:.
  38. Zhang, X., Waller, S. T., Rey, D., & Duell, M. (2017). Integrating uncertainty considerations into multi-objective transportation network design projects accounting for environment disruption.泭Transportation Letters, 1-11. doi:.
2016
  1. Ahmadian Fard Fini, A., Akbarnezhad, A., Rashidi, T. H., & Waller, S. T. (2016). Job Assignment Based on Brain Demands and Human Resource Strategies.泭Journal of Construction Engineering and Management,泭143(5), 04016123..泭
  2. Amini, N., Gardner, L., & Waller, S. T. (2016). New Horizontal Equity Measure for Ramp Meters.泭Transportation Research Record: Journal of the Transportation Research Board, (2568), 90-102.泭DOI:泭
  3. Amini, N., Rashidi, T., Gardner, L., & Travis Waller, S. (2016). Spatial aggregation method for anonymous surveys: Case study for associations between urban environment and obesity.泭Transportation Research Record,泭2598, 27-36. doi:
  4. Arbis, D., Dixit, V. V., & Rashidi, T. H. (2016). Impact of risk attitudes and perception on game theoretic driving interactions and safety.泭Accident Analysis and Prevention,泭94, 135-142. doi:
  5. Bethmont, A., Bui, C. M., Gardner, L., Sarkar, S., Chughtai, A. A., & Macintyre, C. R. (2016). Quantified degree of poultry exposure differs for human cases of avian influenza H5N1 and H7N9.泭Epidemiology and Infection,泭144(12), 2633-2640. doi:
  6. Bui, C. M., Gardner, L., & Macintyre, C. R. (2016) 'Highly pathogenic avian influenza virus, Midwestern United States'.泭Emerging Infectious Diseases, 22(1), 138-139. doi:
  7. Butt, A. M., Siddique, S., Gardner, L. M., Sarkar, S., Lancelot, R., & Qamar, R. (2016). Zika virus in Pakistan: the tip of the iceberg?.泭The Lancet Global Health,泭4(12), e913-e914. doi:
  8. Cafieri, S., & Rey, D. (2017). Maximizing the number of conflict-free aircraft using mixed-integer nonlinear programming.泭Computers and Operations Research,泭80, 147-158. doi:
  9. Chand, S., Dixit, V. V., & Waller, S. T. (2016). Evaluation of Fluctuating Speed and Lateral Movement of Vehicles: Comparison between Mixed Traffic and Homogeneous Traffic.泭Transportation Research Record, 104-112. doi:
  10. Chen, N., Gardner, L., & Rey, D. (2016). Bilevel optimization model for the development of real-time strategies to minimize epidemic spreading risk in air traffic networks.泭Transportation Research Record,泭2569, 62-69. doi:
  11. Dixit, V. V., Chakka, M., & Jayakumar Nair, D. (2016). Autonomous Vehicles: Disengagements, Accidents and Reaction Times.泭PLoS One. doi:
  12. Duell, M., Gardner, L. M., & Waller, S. T. (2016). Policy implications of incorporating distance constrained electric vehicles into the traffic network design problem. 泭Transportation Letters, 1-15. doi:
  13. Duell, M., Levin, M., Boyles, S., & Waller, S. T. (2016). The impact of autonomous vehicles on traffic management: the case of dynamic lane reversal.泭Transportation Research Record.泭DOI:泭
  14. Duell, M., Saxena, N., Chand, S., Amini, N., Grzybowska, H., & Waller, S. T. (2016). Deployment and Calibration Considerations for Large-Scale Regional Dynamic Traffic Assignment: A Case Study for Sydney, Australia.泭Transportation Research Record. doi:
  15. Ermagun, A., Hajivosough, S., Samimi, A., & Hossein Rashidi, T. (2016). 'A joint model for trip purpose and escorting patterns of the disabled.'泭泭Travel Behaviour and Society, 3, 51-58.泭
  16. Fasihozaman Langerudi, M., Rashidi, T. H., & Mohammadian, A. (2016). Individual trip rate transferability analysis based on a decision tree approach.泭Transportation Planning and Technology,泭39(4), 370-388. doi:
  17. Gardner, L.M., Chughtai, A.A., & MacIntyre, C.R., (2016) Risk of spread of Middle East respiratory syndrome coronavirus (MERS-CoV) from Middle East countries via the air transport network. Journal of Travel Medicine. 23 (6):泭
  18. Gardner, L. M., Chen, N., & Sarkar, S. (2016). Global risk of Zika virus depends critically on vector status of Aedes albopictus.泭The Lancet Infectious Diseases,泭16(5), 522-523. doi:
  19. Hageman, D., Pereira, A. F., Zeidler, D., Knothe, U., Gardner, L., & Knothe Tate, M. L. (2016). Cellular Epidemiology of Human Disease Using Biogeographic and Google Maps Approaches - Towards Definition of Cell Network Indices for Rapid Diagnostics.泭Annals of Biomedical Engineering.
  20. Hammad, A. W. A., Akbarnezhad, A., & Rey, D. (2016)泭'A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimise noise pollution and transport costs.'泭Automation in Construction,泭61, 73-85. doi:
  21. Hammad, A., Akbar Nezhad, A., & Rey, D. (2016). Accounting for Noise Pollution in Planning of Sustainable Cities. In泭Smart Cities as a Solution for Reducing Urban Waste and Pollution. IGI Global. doi:
  22. Hassan, M. N., Rashidi, T. H., Waller, S. T., Nassir, N., & Hickman, M. (2016). Modeling transit user stop choice behavior: Do travelers strategize?.泭Journal of Public Transportation,泭19(3), 98-116. doi:
  23. Hossein Rashidi, T., & Koo, T. T. R. (2016). An analysis on travel party composition and expenditure: A discrete-continuous model.泭Annals of Tourism Research,泭56, 48-64. doi:
  24. Hossein Rashidi, T., & Mohammadian, K. (2016). Application of a nested trivariate copula structure in a competing duration hazard-based vehicle transaction decision model.泭Transportmetrica A: Transport Science,泭12(6), 550-567. doi:
  25. Hossein Rashidi, T., Rey, D., Jian, S., & Waller, S. T. (2016). A Clustering Algorithm for Bi-Criteria Stop Location Design with Elastic Demand.泭Computer-Aided Civil and Infrastructure Engineering,泭31(2), 117-131. doi:
  26. Huang, Y., 泭Hossein Rashidi, T., & Gardner, L., (2016) Modeling the Global Maritime Container Network, Maritime Economics & Logistics,泭
  27. Jayakumar Nair, D., Grzybowska, H., Rey, D., & Dixit, V. (2016). Food Rescue and Delivery: A Heuristic Algorithm for Periodic Unpaired Pickup and Delivery Vehicle Routing Problem.泭Transportation Research Record,泭2548, 81-89. doi:
  28. Jayakumar Nair, D., Hossein Rashidi., & Dixit, V. V. (2016). Estimating surplus food supply for food rescue and delivery operations.泭Socio-Economic Planning Sciences. doi:
  29. Jian, S., Hossein Rashidi, T., Wijayaratna, K. P., & Dixit, V. V. (2016). A Spatial Hazard-Based analysis for modelling vehicle selection in station-based carsharing systems.泭Transportation Research Part C: Emerging Technologies,泭72, 130-142. doi:
  30. Knothe Tate, M. L., Zeidler, D., Pereira, A. F., Hageman, D., Garbowski, T., Mishra, S., Knothe, U. R. (2016). Organ-to-Cell-Scale Health Assessment Using Geographical Information System Approaches with Multibeam Scanning Electron Microscopy.泭Advanced Healthcare Materials,泭5(13), 1581-1587. doi:
  31. Krueger, R., Rashidi, T. H., & Rose, J. M. (2016). Preferences for shared autonomous vehicles.泭Transportation Research Part C: Emerging Technologies,泭69, 343-355. doi:
  32. Krueger, R., Vij, A., & Rashidi, T. H. (2016). Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour.泭Transportation, 1-37. doi:
  33. Najmi, A., Rashidi, T. H., Abbasi, A., & Waller, S. T. (2016). Reviewing the transport domain: an evolutionary bibliometrics and network analysis. Scientometrics, 1-23. doi:
  34. Rambha, T., Boyles, S. D., & Waller, S. T. (2016). Adaptive transit routing in stochastic time-dependent networks.泭Transportation Science,泭50(3), 1043-1059. doi:
  35. Rey, D., Dixit, V. V., Ygnace, J. L., & Waller, S. T. (2016). An endogenous lottery-based incentive mechanism to promote off-peak usage in congested transit systems.泭Transport Policy,泭46, 46-55. doi:
  36. Sarkar. S., & Gardner, L., (2016). Zika: The cost of neglect. Palgrave Communications 2, Article number: 16060,泭
  37. Shakeel, K., Rashidi, T. H., & Waller, T. S. (2016). Choice Set Formation Behavior: Joint Mode and Route Choice Selection Model.泭Transportation Research Record, (2563), 96-104. doi:
  38. Wang, T. G., Xie, C., Xie, J., & Waller, T. (2016). Path-constrained traffic assignment: A trip chain analysis under range anxiety.泭Transportation Research Part C: Emerging Technologies,泭68, 447-461. doi:
  39. Wijayaratna, K. P., & Dixit, V. V. (2016). Impact of information on risk attitudes: Implications on valuation of reliability and information.泭Journal of Choice Modelling,泭20, 16-34. doi:
2015
  1. Ahmadian Fard Fini, A., Akbar nezhad, A., Hossein Rashidi, T., & Waller, S. T. (2015) 'Accounting for Transport Times in Planning Off-Site Shipment of Construction Materials'. Journal of Construction Engineering and Management, Online published 03 July 2015. doi:
  2. Ahmadian Fard Fini, A., Hossein Rashidi, T., Akbar Nezhad, A., & Waller, S. T. (2015)泭'Incorporating Multiskilling and Learning in the Optimization of Crew Composition.'泭Journal of Construction Engineering and Management. doi:
  3. Arbis, D., Rashidi, T., Dixit, V.V.,& Vandebona, U., (2015)泭Analysis and Planning of Bicycle Parking for Public Transport Stations,泭International Journal of Sustainable Transportation,泭
  4. Bui, C., Bethmont, A., Chughtai, A.A., Gardner, L., Sarkar, S., Hassan, S., Seale, H. &泭MacIntyre, C.R., (2015), 'A Systematic Review of the Comparative Epidemiology of Avian and Human Influenza A H5N1 and H7N9 - Lessons and unanswered Questions',泭Transboundary and Emerging Diseases,泭
  5. Chow, A. H. F., Szeto, W. Y., Wang, D. Z. W., & Waller, S. T. (2015)泭'Quantitative Approaches to Resilience in Transport Networks.'泭Transportmetrica A: Transport Science, 11(9), 751-753. doi:
  6. Dixit, V.V., Harb, R.C., Mart穩nez-Correa, J.,泭&泭Rutstr繹m, E.E., (2015) 'Measuring risk aversion to guide transportation policy: Contexts, incentives, and respondents',泭Transportation Research Part A: Policy and Practice, vol. 80, pp. 15 - 34,泭
  7. Duell, M., &泭Waller, S.T. (2015).泭The implications of volatility in day-to-day travel flow and road capacity on traffic network design projects.泭Transportation Research Record: Journal of the Transportation Research Board, 2498, 56-63.
  8. Ermagun, A.; Hossein Rashidi, T.,泭&泭Samimi, A., (2015)泭'A joint model for mode choice and escort decisions of school trips',泭Transportmetrica A: Transport Science, vol. 11, no. 3, pp. 270 - 289,泭
  9. Gardner, L.M., Boyles, S.D., Bar-Gera, H.,泭&泭Tang, K., (2015)泭'Robust Tolling Schemes for High-Occupancy Toll Facilities Under Variable Demand',泭Transportation Research Record, vol. 2450, no. 0361-1981, pp. 152 - 162,泭
  10. Hammad, A. W., Akbarnezhad, A., Rey, D., & Waller, S. T. (2015)泭'A Computational Method for Estimating Travel Frequencies in Site Layout Planning.'泭Journal of Construction Engineering and Management. doi:
  11. Hossein Rashidi, T., &泭Mohammadian, A., (2015)泭'Behavioral Housing Search Choice Set Formation: A Spatial Hazard-based Screening Model',泭International Regional Science Review, vol. 38, no. 2, pp. 151 - 170,泭
  12. Hossein Rashidi, T., Rey, D., Jian, S., &泭Waller, ST.,泭(2015)泭'A Clustering Algorithm for Bi-Criteria Stop Location泭Design with Elastic Demand', Computer-Aided Civil and Infrastructure Engineering,泭
  13. Islam, M.K., Vandebona, U., Dixit, V.V., &泭Sharma, A., (2015) 'A Model to Evaluate the Impact of Headway Variation and Vehicle Size on the Reliability of Public Transit',泭IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4, pp. 1840 - 1850,泭
  14. Joewono, T.B., Vandebona, U., & Susilo Y.O., (2015)泭'Behavioural Causes and Categories of Traffic Violations by Motorcyclists in Indonesian Urban Roads',泭Journal of Transportation Safety and Security, vol. 7, no. 2, pp. 174 - 197,泭
  15. Liu, H., Wang, J., Wijayaratna, K., Dixit, V. V., &泭Waller, S. T. (2015).泭Integrating the Bus Vehicle Class Into the Cell Transmission Model. IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 5, pp. 2620 - 2630,泭
  16. Lu, W., Vandebona, U., & Kiyota, M., (2015)泭'Reconfiguration of Handicapped Parking Spaces to Maximize Utilization of Available Space',泭International Journal of Engineering and Technology, vol. 7, no. 2, pp. 149 - 155,泭
  17. Menon, A.K., Cai, C., Wang, W., Wen, T., &泭Chen, F. (2015).泭Fine-grained OD Estimation with Automated Zoning and Sparsity Regularisation, in Transportation Research Part B, 80, pp.150-172.泭
  18. Moylan, E., Schabas, M. &泭Deakin, E. (2015)泭Residential Permit Parking泭Better Off Without It?',泭Transportation Research Record, vol. 2469, pp. 23 - 31, No 0361-1981泭
  19. Pande, A., Loy, J., Dixit, V.V., Spansel, K., 泭& Wolshon, B., (2015).泭'Integrity of estimates of the two-fluid model and gender impacts,' Transportation Research Part C: Emerging Technologies,泭Vol. 50, 141-149泭泭
  20. Parr, S.A., Wolshon, B., 泭&泭Dixit, V., (2015)泭'Selection and allocation of manual traffic control points and personnel during emergencies.',泭Journal of Emergency Management, vol. 13, no. 2, pp. 121 - 133,泭
  21. Rey, D., Gardner, L., &泭Waller, S.T., (2015)泭'Finding Outbreak Trees in Networks with Limited Information',泭Networks and Spatial Economics,泭
  22. Rey, D., Rapine, C., Dixit, V.V., &泭Waller, S.T., (2015)泭'Equity-oriented aircraft collision avoidance model',泭IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 1, pp. 172 - 183,泭
  23. Susilo, Y.O., Joewono, T.B., & Vandebona, U., (2015)泭'Reasons underlying behaviour of motorcyclists disregarding traffic regulations in urban areas of Indonesia',泭Accident Analysis and Prevention, vol. 75, pp. 272 - 284,泭
  24. Xiong, Z., & Olstam, J. (2015). Orchestration of Driving Simulator Scenarios - based on Dynamic Actor Preparation and Automated Action Planning. Transportation Research Part C: Emerging Technologies, 56, 120-131. doi:
  25. Zhang, Z., Wolshon, B., &泭Dixit, V.V., (2015)泭'Integration of a cell transmission model and macroscopic fundamental diagram: Network aggregation for dynamic traffic models',泭Transportation Research Part C: Emerging Technologies, vol. 55, pp. 298 - 309,泭
  26. Zhang, X., Rey,D., & Waller, S.T. (2015)泭Bi-level program of transportation network design problem accounting for equity and exact solution methodology.泭Journal of Traffic and Logistics Engineering, 3(2), 94 101. d
2014
  1. Dixit, V., & Rashidi, T. H. (2014).泭'Modelling crash propensity of carshare members.'泭Accident Analysis & Prevention, 70, 140-147.泭泭
  2. Dixit, V., & Wolshon, B. (2014).泭'Evacuation traffic dynamics'.泭Transportation Research Part C: Emerging Technologies, 49, 114-125.泭泭
  3. Dixit, V. V., & Denant-Boemont, L. (2014).泭'Is equilibrium in transport pure Nash, mixed or Stochastic?.'泭Transportation Research Part C: Emerging Technologies, 48, 301-310.泭
  4. Dixit, V., Harrison, G.W. & Rutstr繹m, E.E., (2014), 'Estimating the subjective risks of driving simulator accidents',泭Accident Analysis and Prevention, vol. 62, pp. 63 - 78,泭
  5. Duell, M., Gardner, L. M., Dixit, V., & Waller, S. T. (2014). 'Evaluation of a Strategic Road Pricing Scheme Accounting for Day-to-Day and Long-Term Demand Uncertainty.'泭Transportation Research Record: Journal of the Transportation Research Board, 2467(-1), 12-20.泭泭
  6. Ermagun, A., Hossein Rashidi, T., & Samimi, A. (2014).泭'A joint model for mode choice and escort decisions of school trips.'泭Transportmetrica A: Transport Science, 1-20.泭泭泭
  7. Gardner, L. M., Boyles, S. D., Bar-Gera, H., & Tang, K. (2014). 'Robust Tolling Schemes for High-Occupancy Toll Facilities Under Variable Demand.'泭Transportation Research Record: Journal of the Transportation Research Board, 2450(-1), 152-162. doi:10.3141/2450-19
  8. Gardner, L. M., Fajardo, D., & Travis Waller, S. (2014).泭'Inferring Contagion Patterns in Social Contact Networks Using a Maximum Likelihood Approach.'Natural Hazards Review, 15(3), 04014004. doi:10.1061/(ASCE)NH.1527-6996.0000135
  9. Gardner, L. M., & MacIntyre, C. (2014).泭'Unanswered questions about the Middle East respiratory syndrome coronavirus (MERS-CoV).'BMC Research Notes, 7(1), 358. doi:10.1186/1756-0500-7-358
  10. Gardner, L. M., Rey, D., Heywood, A. E., Toms, R., Wood, J., Waller, S. T., MacIntyre, C. R. (2014).泭'A Scenario-Based Evaluation of the Middle East Respiratory Syndrome Coronavirus and the Hajj.'泭Risk Analysis, 34(8), 1391-1400.泭
  11. Gayah VV; Dixit VV; Guler SI, (2014). 'Relationship between mean and day-to-day variation in travel time in urban networks',泭EURO Journal on Transportation and Logistics, vol. 3, pp. 227 - 243,泭
  12. Hossein Rashidi, T., Kanaroglou, P., Toop, E., Maoh, H., & Liu, X.泭泭(2014).泭'Emissions and built form an analysis of six Canadian cities.'泭Transportation Letters: The International Journal of Transportation Research,.泭泭
  13. Islam, M. K., Vandebona, U., Dixit, V. V., & Sharma, A. (2014).泭'A Bulk Queue Model for the Evaluation of Impact of Headway Variations and Passenger Waiting Behavior on Public Transit Performance.'泭IEEE Transactions on Intelligent Transportation Systems, 15(6), 2432-2442.泭
  14. Javali, C., Revadigar, G., Libman, L., & Jha, S. (2014).泭'SeAK: Secure authentication and key generation protocol based on dual antennas for wireless body area networks.'泭Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8651, 74-89. doi:10.1007/978-3-319-13066-8_5
  15. Levin, M. W., Duell, M., & Waller, S. T. (2014).泭'Effect of Road Grade on Networkwide Vehicle Energy Consumption and Ecorouting'. Transportation Research Record: Journal of the Transportation Research Board, 2427(-1), 26-33.泭
  16. Levin, M. W., Pool, M., Owens, T., Juri, N. R., & Waller, S. T. (2014).泭'Improving the Convergence of Simulation-based Dynamic Traffic Assignment Methodologies.'泭Networks and Spatial Economics.泭
  17. Lu, W., Vandebona, U., & Kiyota, M. (2014).泭'Analysis of experience with formalizing handicapped parking system.'泭Transportation Research Part F: Traffic Psychology and Behaviour, 26, 62-71.泭
  18. Rashidi, T. H. (2014).泭'Dynamic Housing Search Model Incorporating Income Changes, Housing Prices, and Life-Cycle Events.'泭Journal of Urban Planning and Development, 04014041.泭泭
  19. Rey, D., Almi'ani, K., Viglas, A., Libman, L., & Waller, S. T. (2014).泭'Transit Route Design Solved with Wireless Data Collection Algorithms.'泭Transportation Research Record.泭
  20. Wang, S., Gardner, L., & Waller, S. T. (2014).泭'Global Optimization Method for Robust Pricing of Transportation Networks under Uncertain Demand.'泭International Journal of Transportation, 2(2), 33-48.泭
  21. Yu, J., Pande, A., Nezamuddin, N., Dixit, V., & Edwards, F. (2014). 'Routing Strategies for Emergency Management Decision Support Systems During Evacuation.'泭Journal of Transportation Safety & Security, 6(3), 257-273.泭泭
2013
  1. Dixit, V. V. (2013).泭Behavioural foundations of two-fluid model for urban traffic.Transportation Research Part C: Emerging Technologies, 35(C), 115-126.泭
  2. Dixit, V. V., Wilmot, C., & Wolshon, B. (2013).泭Modeling risk attitudes in evacuation departure choices.泭Transportation Research Record, 2312(1 December 2012), 159-163.泭
  3. Fajardo, D., & Gardner, L. M. (2013).泭Inferring Contagion Patterns in Social Contact Networks with Limited Infection Data. Networks and Spatial Economics, 13(4), 399-426.泭
  4. Gardner, L., & Sarkar, S. (2013).泭A Global Airport-Based Risk Model for the Spread of Dengue Infection via the Air Transport Network.泭PLoS ONE, 8(8), e72129-e72129.泭
  5. Gardner, L. M., Bar-Gera, H., & Boyles, S. D. (2013).泭Development and comparison of choice models and tolling schemes for high-occupancy/toll (HOT) facilities.Transportation Research Part B: Methodological, 55(C), 142-153.泭
  6. Gardner, L. M., Duell, M., & Waller, S. T. (2013).泭A framework for evaluating the role of electric vehicles in transportation network infrastructure under travel demand variability.Transportation Research Part A: Policy and Practice, 49(C), 76-90.泭
  7. Gayah, V. V., & Dixit, V. V. (2013).泭Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities.泭Transportation Research Record: Journal of the Transportation Research Board, 2390(-1), 76-86.泭
  8. Gayah, V. V., Dixit, V. V., & Guler, S. I. (2013).泭Relationship between mean and day-to-day variation in travel time in urban networks.泭EURO Journal on Transportation and Logistics.泭泭
  9. Hsia, H. C., Yeh, K. Y., Tsukaguchi, H., & Vandebona, U. (2013).泭The Study of Relationships among Psychological Factors, Acceptable Walking Distance, and Reported Walking Distance for Shopping Trips.泭Journal of the Eastern Asia Society for Transportation Studies, 10, 1475-1488.泭
  10. Jiang, N., Xie, C., Duthie, J. C., & Waller, S. T. (2013).A network equilibrium analysis on destination, route and parking choices with mixed gasoline and electric vehicular flows.EURO Journal on Transportation and Logistics.泭
  11. Mehmood, T., Libman, L., Dehkordi, H. R., & Jha, S. K. (2013).泭Optimal opportunistic routing and network coding for bidirectional wireless flows.泭Computer Networks, 57(18), 4030-4046. doi: 10.1016/j.comnet.2013.10.004
  12. Montz, T., Dixit, V., Wilmot, C., & Wolshon, B. (2013).泭Assessing the Effectiveness of Flexible Response in Evacuations.泭Natural Hazards Review, 14(3), 200-210.泭
  13. Rashidi, T. H., Auld, J., & Mohammadian, A. K. (2013).泭Effectiveness of Bayesian Updating Attributes in Data Transferability Applications.Transportation Research Record: Journal of the Transportation Research Board, 2344(-1), 1-9.泭
  14. Rey D, Rapine C, Dixit VV, Waller ST. Equity-Oriented Aircraft Collision Avoidance Model. IEEE Transactions on Intelligent Transportation Systems 16(1):172-183 Feb 2015.泭
  15. Tajima, Y., Tsukaguchi, H., Vandebona, U., & Hsia, H. C. (2013).泭Relationships among Lifestyle Attributes and Attitudes toward Pedestrian Facilities.泭Journal of the Eastern Asia Society for Transportation Studies, 10, 1458-1474.泭
  16. Tsukaguchi, H., Vandebona, U., & Tajima, Y. (2013).泭Analysis of Changes in Pedestrian Route Choice Priorities with Progress of Stage of Life.泭Journal of the Eastern Asia Society for Transportation Studies, 10, 1396-1412.泭泭
  17. Vandebona, U., & Tsukaguchi, H. (2013).泭Impact of urbanization on user expectations related to public transport accessibility.泭International Journal of Urban Sciences, 17(2), 199-211.泭
  18. Waller, S. T., Fajardo, D., Duell, M., & Dixit, V. (2013).泭Linear Programming Formulation for Strategic Dynamic Traffic Assignment. Networks and Spatial Economics, 13(4), 427-443.泭
  19. Wolshon, B., Dixit, V., & Renne, J. (2013).泭Special Issue on Interdisciplinary and Multimodal Nature of Evacuations: Nexus of Research and Practice.泭Natural Hazards Review, 14(3), 149-150.泭
2012
  1. Boulis, A, Tselishchev,Y,泭Libman,泭L,泭Smith,泭D,泭泭& Hanlen,泭L,泭. (2012).泭'Impact of Wireless Channel Temporal Variation on MAC Design for Body Area Networks',泭泭ACM Transactions on Embedded Computing Systems, 11(S2), August 2012.泭
  2. Dixit, V V, Gayah, V, & Radwan, E (2012).泭Comparison of Driver Behaviour by Time of Day and Wet Pavement Conditions,泭Journal of Transportation Engineering - ASCE, 138, pp. 1023-1029.泭泭
  3. Dixit, V V 2012,泭Modelling Origin- Destination Effects on Roundabout Operations and Inflow Control, Journal of Transportation Engineering - ASCE, 138, pp. 1016 - 1022.泭
  4. Dixit, V V, Wilmot, C, & Wolshon, B泭(2012).泭Modelling Risk Attitudes in Evacuation Departure Choice,泭Transportation Research Record: Journal of the Transportation Research Board, pp. 159-163.泭
  5. Dixit, V V, & Wolshon, B泭(2012).泭Traffic Modelling and Simulation for Regional Multimodal Evacuation Analysis,泭International Journal of Advanced Intelligence Paradigms, 4, pp. 71-82.泭泭
  6. Fajardo, D, & Waller, ST泭(2012).泭Dynamic travelling salesman problem in stochastic-state network setting for search-and-rescue application,泭Transportation Research Record , pp. 122-130.泭
  7. Fajardo, D, & Waller, ST (2012).泭Finding Minimum-Cost Dynamic Routing Policies in Stochastic-State Networks with Link Failures,泭Transportation Research Record , pp. 113 - 121.泭泭
  8. Ferguson, EM, Duthie, JC, & Waller, ST泭(2012).Comparing Delay Minimization and Emissions Minimization in the Network Design Problem,泭Computer-Aided Civil and Infrastructure Engineering, 27, pp. 288-302.泭
  9. Ferguson, EM, Duthie, J, Unnikrishnan, A, & Waller, ST泭(2012).泭Incorporating equity into the transit frequency-setting problem,泭Transportation Research Part A - Policy and Practice, 46, pp. 190-199.泭泭
  10. Gardner, L M, Fajardo, D, Waller, ST, Wang, O, & Sarkar S,泭(2012).泭A predictive spatial model to quantify the risk of air-travel-associated dengue importation into the United States and Europe,泭Journal of Tropical Medicine , 2012, pp. 1-11.泭
  11. Gardner, L M, Fajardo, D, & Waller, ST泭(2012).Inferring Infection-Spreading Links in an Air Traffic Network,泭Transportation Research Record, pp. 1321.泭泭
  12. Hossein Rashidi, T, Mohammadian, A, & Auld, J泭(2012).A Behavioral Housing Search Model: A Combined Hazard-Based and Multinomial Logit Approach,泭Transportation Research Part A - Policy and Practice, 46, pp. 1097-1107.
  13. Hossein Rashidi, T, & Mohammadian, A泭(2012).泭Behavioral Housing Search Choice Set Formation: A Spatial Hazard-based Screening Model,, International Regional Science Review published online by SAGE.泭
  14. Hossein Rashidi, T, Mohammadian, A, & Koppelman, F泭(2012).泭Modeling interdependencies between vehicle transaction, residential relocation and job change,Transportation, 38, pp. 909-932. DOI:泭
  15. Jiang, N, Xie, C, & Waller, ST (2012).泭Path- Constrained Traffic Assignment: Model and Algorithm,泭Transportation Research Record, pp. 25-33.泭泭
  16. Karimi, B, Hossein Rashidi, T, Mohammadian, A, & Sturm, K.泭(2012).Young- old elderly and baby boomers: activity duration, time-of-day choice, planning time horizons, health, and safety,泭Transportation Research Record.泭泭
  17. Kumar, R, Unnikrishnan, A, & Waller, ST泭(2012).泭Heuristic Scheme for Heterogeneous Vehicle Routing Problem on Trees Based on Generalized Assignment and Bin-Packing Upper Bounds,泭Transportation Research Record, pp. 111.泭
  18. Ng, M, & Waller, ST泭(2012).泭A Dynamic Route Choice Model Considering Uncertain Capacities, Computer-Aided Civil and Infrastructure Engineering, 27, pp. 231243.泭
  19. Tselishchev, Y, 泭Boulis,泭A, 泭& Libman,泭L,泭泭(2012).泭Variable Scheduling to Mitigate Channel Losses in Energy-Efficient Body Area Networks',泭MDPI Sensors (Special Issue on Body Sensor Networks for Healthcare and Pervasive Applications), 12(11), November 2012.泭
  20. Xie, C, & Waller, ST (2012).泭Optimal Routing with Multiple Objectives: Efficient Algorithm and Application to the Hazardous Materials Transportation Problem,泭Computer-Aided Civil and Infrastructure Engineering , 27, pp. 77-94.泭
  21. Xie, C, & Waller, ST泭(2012).泭Parametric Search and Problem Decomposition for Approximating Pareto-Optimal Paths,泭Transportation Research Part B - Methodological , 46, pp.1043-1067.泭
  22. Xie, C, & Waller, ST泭(2012).泭Stochastic Traffic Assignment, Lagrangian Dual, and Unconstrained Convex Optimization,泭Transportation Research Part B - Methodological , 46, pp.1023-1042.泭
  • 2019

    Jiang, P., Saydam, S., Ramandi, H. L., Crosky, A., & Maghrebi, M. (2019). Deep Molecular Representation in Cheminformatics. In V. Balas, S. Roy, D. Sharma, & P. Samui (Eds.),
    泭
    2018

    Hammad, A., Akbar Nezhad, A., & Rey, D. (2018). Accounting for Embodied Carbon Emissions in Planning and Optimisation of Transport Operations During Construction. In F. Pomponi, C. De Wolf, & A. Moncaster (Eds.), Embodied Carbon in Buildings : Measurement, Management, and Mitigation (pp. 301-321). Springer. doi:
    泭
    2017

    Barcelo, J., Grzybowska, H., & Orozco, J. (2017). City Logistics. In R. Marti, P. Panos, & M. Resende (Eds.),泭Handbook of Heuristics泭(pp. 1-44). Springer International Publishing. doi:

    Jiang, P., Maghrebi, M., Crosky, A., & Saydam, S. (2017). Unsupervised deep learning for data-driven reliability and risk analysis. In E. Balas, P. Samui, S. Sekhar, & R. Valentina (Eds.),泭Handbook of Neural Computation泭(1st Edition ed.). Academic Press. Retrieved from泭

    Hammad, A., Akbar Nezhad, A., & Rey, D. (2017). Estimation of Input Parameters Used in Site Layout Planning Through Integration of BIM and Project Schedules. In W. Peng, L. Haijiang, & W. Xiangyu (Eds.),泭Integrated Building Information Modelling泭(pp. 121-157). Sharjah UAE: Bentham Science Publishers (ebooks). doi:
    2016

    Vandebona, U., and Tsukaguchi, H., (2015) East Library (Vol 1, ISSN 2189-504X) Eastern Asia Society for Transportation Studies, Tokyo.
    泭
    2013

    Dixit, V., & Wolshon, B. P. (2013). Planning and management of transportation systems for evacuation. In A. B. Badiru & L. Racz (Eds.), Handbook of Emergency Response: A Human Factors and Systems Engineering Approach (Vol. B . Badiru and LeeAnn Racz, pp. 175-200): CRC Press.

    Hossein Rashidi, T., & Kanaroglou, P. (2013). The Next Generation of Transportation Demand Models, Toward an Interdisciplinary Science 13th Conference of the International Association for Travel Behaviour Research (IATBR), Toronto ON, July 15-20, 2012. Toronto, Ontario, Canada: University of Toronto.

    Kezunovic, M., & Waller, S. T. (2013).泭. In M. Ehsani, F. Y. Wang & G. L. Brosch (Eds.), Encyclopedia of Sustainability Science and Technology.
    泭
    2012

    Kezunovic, M, & Waller, ST (2012).泭Vehicle-Power Grid Interaction for Multi-fueling (EV, PHEV), Encyclopedia of Sustainability Science and Technology, Springer.

    Deployment of a Wireless Mesh Network for Traffic Control, K.-C. Lan, Z. Wang, M. Hassan, T. Moors, R. Berriman, L. Libman, M. Ott, B. Landfeldt, Z. Zaidi, and C.-M. Chou.泭泭M.A. Matin (editor), IGI Global, (June 2012) (ISBN: 9781466617971).
    泭
  • 2022


    .
    2021

    Regan, M., Prabhakharan, P., Wallace, P., Cunningham, M., & Bennett, J. (2020).泭Education and Training for Drivers of Assisted and Automated Vehicles泭(AP-R616-20). Retrieved from泭

    泭
    2020

    Ardeshiri, A., & Hossein Rashidi, T. (2020).泭COVID-19 and Government Regulations for Risk Mitigation: A Lifestyle Adaptation and Preferences Study. doi:

    Regan, M., Prabhakharan, P., Wallace, P., Cunningham, M., & Bennett, J. (2020).泭Education and Training for Drivers of Assisted and Automated Vehicles泭(AP-R616-20). Retrieved from泭

    泭
    2019

    Ardeshiri, A., Ghasrodashti, R. E., Rashidi, T. H., Ardeshiri, M., & Willis, K. (2019). Conservation or deterioration in heritage sites? Estimating willingness泭 to pay for preservation. Retrieved from泭

    Chakraborty, S., Rey, D., Levin, M. W., & Waller, S. T. (n.d.). Benders' decomposition for freeway network design under endogenous autonomous vehicles demand. Retrieved from泭

    Jayakumar Nair, D. (2019). A simple contagion process describes spreading of traffic jams in urban networks.泭arxiv. Retrieved from泭arxiv:1906.00585

    泭
    2018

    Ardeshiri, A., & Swait, J. (2018). Seasonality Effect on US Household Demand for Different Beef Cuts.泭Economic Research,泭2(1),泭

    Casey, N., Regan, M., & Hassan, A. (2018). A Methodology for Assessing Driver Behaviour and Improving Safety and Customer Experience in Long Urban Road Tunnels. In泭8th International Symposium of Tunnel Safety & Security. Bor疇s, Sweden. Retrieved from泭

    Ghasri, M., & Rashidi, T. H. (2018). Investigating the internal compromise between wife and husband's commute time changes in residential relocation. In泭The Practice of Spatial Analysis: Essays in memory of Professor Pavlos Kanaroglou泭(pp. 325-339). doi:

    泭
    2017

    Chand S; Aouad G; Dixit VV, 2017, 'Long-range dependence of traffic flow and speed of a motorway: Dynamics and correlation with historical incidents',泭Transportation Research Record, vol. 2616, pp. 49 - 57,泭

    Regan, M., Cunningham, M., Dixit, V., Horberry, T., Bender, A., Weeratunga, K., and Hassan, A. (2017).泭Preliminary findings from the first Australian National Survey of Public Opinion about Automated and Driverless Vehicles. Australia: The Australia and New Zealand Driverless Vehicle Initiative (ADVI). Retrieved from泭

    泭

    泭

Conference - full paper refereed

  • 2021

    Xi, H., Liu, W., Rey, D., Waller, S. T., & Kilby, P. (2021). Efficient Mechanism Design for Mobility-as-a-Service. In泭Transportation Research Board 100th Annual Meeting Transportation Research Board. Washington DC.

    2020

    Dias, F. H. C., Rahme, S., & Rey, D. (n.d.). A two-stage algorithm for aircraft conflict resolution with trajectory recovery. Retrieved from泭

    Li, C., Bai, L., Liu, W., Yao, L., & Waller, S. T. (2020). Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. In泭International Conference on Information and Knowledge Management, Proceedings泭(pp. 715-724). doi:

    Lu, W., Vandebona, U., Kiyota, M., & Wang, Y. (2020). Estimation of Traffic Delay at an Unconventional Roundabout by Computer Simulation. In泭Proceedings of 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education, ICISCAE 2020泭(pp. 295-302). doi:

    Rey, D. (2020). Computational benchmarking of exact methods for the bilevel discrete network design problem. In泭Transportation Research Procedia泭Vol. 47 (pp. 11-18). doi:

    Sheng, Z., Dixit, V. V., Secadiningrat, J. R., Thomson, J., & Muscat, J. (2020). Embedded System Based Automated Vehicles Action Control. In泭Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020泭(pp. 1000-1005). doi:

    Sinha, A., Chand, S., Wijayaratna, K. P., Virdi, N., & Dixit, V. (2020). Crash Severity and Rate Evaluation of Conventional Vehicles in Mixed Fleets with Connected and Automated Vehicles. In泭Procedia Computer Science泭Vol. 170 (pp. 688-695). doi:

    Wang, X., Yao, L., Liu, W., Li, C., Bai, L., & Waller, S. T. (2020). Mobility Irregularity Detection with Smart Transit Card Data. In泭Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)泭Vol. 12084 LNAI (pp. 541-552). doi:

    Xi, H., Liu, H., Yi, Z., & Dixit, V. (2020). Differentiable Road Pricing for Electric Vehicles and Gasoline Vehicles to Manage the Congestion and Emissions. In泭99th Transportation Research Board Annual Meeting. Washington D.C.

    Xi, H., Liu, H., Yi, Z., & Dixit, V. (2020). Road Pricing Scheme for EV and GV Users with Environmental Awareness. In泭99th Transportation Research Board Annual Meeting. Washington D.C.
    泭

    泭

    泭

    泭

    泭

    泭

    泭

    泭

    泭

    泭
  • 2019

    Bai, L., Wang, X., Yao, L., Liu, W., Kanhere, S. S., & Yang, Z. (2019). Spatio-temporal graph convolutional and recurrent networks for citywide passenger demand prediction. In泭International Conference on Information and Knowledge Management, Proceedings泭(pp. 2293-2296). doi:, November 2019, Beijing, China.

    Barbara, M., Rey, D., & Nezhad, A. (2019).泭. In泭Canadian Society for Civil Engineers.泭 3-8 June 2019, Laval (greater Montreal), Canada.泭

    Gu, C., Goel, A., Chand, S., & Dixit, V. (2019). An assessment of the topological characteristics of Australian cities. In泭Australasian Transport Research Forum, ATRF 2019 - Proceedings.

    Jian, S., Liu, W., Wang, X., Yang, H., & Waller, S. T. (2019). Unlock The Sharing Economy: Integrating Carsharing And Parking Sharing Services.泭Transportation Research Board (TRB) 98th Annual Meeting Compendium of Papers泭(pp. 21 pages). Retrieved from泭, January 2019, Washington DC, USA.

    Li, C., Bai, L., Liu, W., Yao, L., & Waller, S. (2019). Passenger Demographic Attributes Prediction for Human-Centered Public Transport. In T. Gedeon, K. Wong, & M. Lee (Eds.),泭International Conference on Neural Information Processing泭Vol. 1142 (pp. 486-494). Sydney, Australia: Springer, Cham. doi:

    Liu, W., Zhang, F., Wang, X., Shao, C., & Yang, H. (2019). Modeling and Managing the Parking Sharing Problem for Urban Cities.泭Transportation Research Board (TRB) 98th Annual Meeting Compendium of Papers泭(pp. 17 pages). Retrieved from泭. 13-17 January 2019, Washington DC, USA.

    Najmi, A., Hossein Rashidi, T., Vaughan, J., & J. Miller, E. (2019). A novel multi-objective approach for calibration of large-scale transportation planning models. In泭Transportation Research Board 98th Annual Meeting Transportation Research Board. Washington DC USA..

    Parekh, K., Saxena, N., Dixit, V. V., & Waller, S. T. (2019). Comparing route choice behaviour under stop-&-go traffic between surveys involving textual description and driving simulator experience. In泭Australasian Transport Research Forum, ATRF 2019 -泭Retrieved from泭

    Prabhakharan, P., & Chung, J. (2019). Understanding the Role of Inattentional Blindness in Motorcyclists LBFTS Crashes.泭Australasian Road Safety Conference. 25-27 September 2019, Adelaide, Australia.

    Prabhakharan, P., Cunningham, M., Bennett, J., & Regan, M. (2019). Education and Training Requirements for Drivers of Automated Vehicles in Australia and New Zealand.泭Australasian Road Safety Conference. 25-27 September 2019, Adelaide, Australia.

    Ranaweera, M., Seneviratne, A., Rey, D., Saberi, M., & Dixit, V. V. (2019). Anomalous data detection in vehicular networks using traffic flow theory. In泭IEEE Vehicular Technology Conference泭Vol. 2019-September. doi:. 22-25 September 2019, Honolulu, Hawaii, USA.

    Wijayaratna, K., Moylan, E., Jian, S., Jones, M., & Waller, S. T. (2019). The unified reliability model. In泭Australasian Transport Research Forum, ATRF 2019 - Proceedings. Canberra, ACT, Australia. Retrieved from泭

    Xu, G., Yang, H., Liu, W., & Shi, F. (2019). A Passenger Assignment Model In A Schedule-Based High-Speed Railway System.泭Transportation Research Board (TRB) 98th Annual Meeting Compendium of Papers泭(pp. 18 pages). Retrieved from泭. 13-17 January 2019, Washington DC, USA.

    2018

    Ardeshiri, A., & Ardeshiri, M. (2018). What Residents Want from Their Neighbourhoods: Inferring Willingness to Pay for Urban Services using Discrete Choice Experiment. In泭The Regional Studies Australian Conference.

    Ardeshiri, A., Sampson, S., Cong, K., Lambides, M., & Swait, J. (2018).泭Pathways to market. University of South Australia.

    Barcel籀, J., Grzybowska, H., & Orozco, J. A. (2018). City logistics. In泭Handbook of Heuristics泭(Vol. 2-2, pp. 887-930). doi:

    Casey, N., Regan, M., & Hassan, A. (2018). A Methodology for Assessing Driver Behaviour and Improving Safety and Customer Experience in Long Urban Road Tunnels. In泭8th International Symposium of Tunnel Safety & Security. Bor疇s, Sweden. Retrieved from泭

    Ghasrikhouzani, M., Hossein Rashidi, T. H. R., & Saberi, M. S. (2018). Comparing Survival Analysis and Discrete Choice Modeling in Simulating Dynamics of Vehicle Ownership. In泭Transportation Research Board 97th Annual Meeting. Washington DC, United States. Retrieved from泭

    Grzybowska, H., Willmott, S., & Waller, S. T. (2018). Applying Internet Protocol Random Early Detection Strategies to Real-time Traffic Management in Transportation Networks. In泭Proceedings of Transportation Research Board (TRB). Washington, DC, USA..

    Jayakumar Nair, D., & dixit, V. V. (2018). Application of Allocation and Routing Model on Food Rescue and Delivery Network. In泭Application of Allocation and Routing Model on Food Rescue and Delivery Network. Washington D.C.

    Jian, S., Ma, M., & Liu, W. (2018). Quantifying the impacts of delays on mobility patterns using transit smart card data. In W. Gu, & S. Wang (Eds.),泭Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 - Transportation Systems In the Connected Era泭(pp. 65-72). Hong Kong: Hong Kong Society for Transportation Studies Limited.

    Karki, A., Saxena, N., Hossein Rashidi, T., & Dixit, V. (2018). Understanding Parking Choice Behaviour towards Short-Term and All-Day Parking Options. In泭Proceedings of the 98th Transportation Research Board Annual Meeting. Washington DC, USA.

    Liu, W. (2018). Modelling Dynamic Commuting Equilibrium with Autonomous Vehicles Under Parking Competition. In W. Gu, & S. Wang (Eds.),泭Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 - Transportation Systems in the Connected Era泭(pp. 753-760). Hong Kong: Hong Kong Society for Transportation Studies Limited.

    Liu, W., Zhang, F., Wang, X., Shao, C., & Yang, H. (2018). Modeling and Managing the Parking Sharing Problem. In泭International Transportation Economics Association (ITEA) Annual Conference泭(pp. 34 pages). Hong Kong. Retrieved from泭

    Moylan, E. M., Kumsiashvili, N., Jian, S., Wijayaratna, K. P., Dixit, V., & Waller, S. (2018). Issues related to combining link-level measurements for estimating journey time reliability. In泭7th International Conference on Transport Network Reliability, Sydney, Australia. Sydney.

    Najmi, A. N., Duell, M. D., Ghasrikhouzani, M. G., Hossein Rashidi, T. H. R., & Waller, S. T. W. (2018). How should travel demand and supply models be jointly calibrated?. In泭Transportation Research Board 97th Annual Meeting. Washington DC, United States. Retrieved from泭

    Rashidi, T., Dixit, V., & Waller, S. (2018). Quantifying the Effect of Stop-&-Go Traffic on Driver Frustration: A Driving Simulator Study. In泭Proceedings of the 97th Transportation Research Board Annual Meeting. Washington DC, USA.

    Rey, D., Almiani, K., Jayakumar Nair, D., & Waller, S. T. (2018). A tree-based heuristic for Equitable food relief operations. In泭Transportation Research Board (TRB) 97th Annual Meeting. Washington, DC, USA.. Retrieved from泭

    Saxena, N., Hossein Rashidi, T., & auld, J. (2018). Comparing Commuters Willingness to Pay under Transit Disruptions: Delayed vs. Canceled Services. In泭Proceedings of the 98th Transportation Research Board Annual Meeting. Washington DC, USA.

    Saxena, N., Hossein Rashidi, T., & Rey, D. (2018). Evaluating the Demand for On-Demand Transport Services: A Case study in the Northern Beaches in Sydney. In泭Proceedings of the 98th Transportation Research Board Annual Meeting. Washington DC, USA.

    Saxena, N., Hossein Rashidi, T., Dixit, V., & Waller, S. (2018). Quantifying the Effect of Stop-&-Go Traffic on Driver Frustration: A Driving Simulator Study. In泭Proceedings of the 97th Transportation Research Board Annual Meeting. Washington DC, USA.

    Saxena, N., Rashidi, T. H., dixit, V. V., & waller, S. T. (2018). Quantifying the Effect of Stop-&-Go Traffic on Driver Frustration: A Driving Simulator Study. In泭Proceedings of the 97th Transportation Research Board Annual Meeting. Washington D.C..

    Shahbazi, B., Akbarnezhad, A., Rey, D., & Ahmadian Fard Fini, A. (2018). A mathematical job allocation model to maximize career development opportunities for construction workers. In泭ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things.

    Swait, J., Ardeshiri, A., Kassahun, H., Sampson, S., & Cong, K. (2018).泭Consumer insights on shop trading hours: project overview and findings. University of South Australia.

    泭
  • 2017

    Cherchi, E., Hossein Rashidi, T., B繹rjesson, M., & Bierlaire, M. (2017). Habitual Latent Behavior and Dynamic Effect of Inertia: Lagged-Based Versus Hazard-Based Hybrid Mode Choice Model. In泭Transportation Research Board. Washington DC.

    Dhamaniya, A., Chand, S., & Chandra, S. (2017). Lane change as a measure of capacity reduction near curbside bus stops under mixed traffic conditions. In泭TRB 96th Annual Meeting Compendium of Papers. Washington DC, USA: Transportation Research Board. Retrieved from泭

    Grzybowska, H., & Guimarans, D. (2017). Real-Time Field Service Engineer Scheduling Problem with Emergencies and Collaborations a SimulationOptimization Approach.. In泭Transportation Research Board (TRB) 96th Annual Meeting Proceedings. Washington, DC, USA.. doi:

    Hammad, A. W., Rey., & Akbar nezhad. (2017). A Bi-level Mixed Integer Programming Model to Solve the Multi-Servicing Facility Location Problem, Minimising Negative Impacts Due to an Existing Semi-Obnoxious Facility. In泭Lecture Notes in Management and Industrial Engineering book series. Canberra, Australia. doi:

    Hammad, A., Akbarnezhad, A., Rey, D., & Grzybowska, H. (2017). Decision Support System for Modular Construction Scheduling. In泭Proceedings of the 34th International Symposium on Automation and Robotics in Construction (ISARC). Taipei, Taiwan..

    Hassan, M., Najmi, A., & Hossein Rashidi, T. (2017). Recreational destination choice modeling incorporating fuzzy logic in discrete choice modelling. In泭Transportation Research Board. Washington DC.

    Ly, T., Hossein Rashidi, T., & Ghasrikhouzani, M. (2017). A unified framework for analyzing attributes of primary and secondary accidents. In泭Transportation Research Board (TRB). USA.

    Nair, D. J., Grzybowska, H., & dixit, V. V. (2017). A Multi-objective Dynamic Vehicle Routing Model for Food Rescue and Delivery. In泭Annual Workshop of the EURO Working Group on Vehicle Routing and Logistics optimization (VeRoLog). Amsterdam, Netherlands. Retrieved from泭

    Rey, D., & Hijazi, H. (2018). Complex number formulation and convex relaxations for aircraft conflict resolution. In泭2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017泭Vol. 2018-January (pp. 88-93). doi:

    Robson, E. N., Wijayaratna, K., & Dixit, V. (2017). From CBA to CGE: A Review of Computable General Equilibrium Modelling for Transport Appraisal. In泭Australasian Transport Research Forum 2017 Proceedings. Auckland, New Zealand. Retrieved from泭

    Saberi, M., Hossein Rashidi, T., Ghasrikhouzani, M., Ewe, K., & McDonald, D. (2017). Travel Demand Model Evaluation: a Graph-Theoretic Approach. In泭Transportation Research Board. USA.

    Saxena, N., Hossein Rashidi, T., Dixit, V., & Waller, S. (2017). Influence of number of Stop-&-Gos on the route choice behaviour of car drivers in urban road networks. In泭Proceedings of 2017 Annual Meeting. Washington DC USA. Retrieved from泭

    Shakeel, K., Hossein Rashidi, T., & Waller, S. (2017). Choice Set Formation Behaviour in Selecting Travel Routes: Application of an Interactive Online Survey Platform. In泭Transportation Research Board. Washington DC.

    Wijayaratna, K., Dixit, V., 泭Denant-Boemont, L., Waller, S.T., 泭(2017)泭,泭the 96th Annual meeting of Transportation Research Board, Washington D.C.泭)

    2016

    泭Ahmadian Fard Fini, A., Akbarnezhad, A., Rashidi, T. H., & Waller, S. T. (2016). Job Assignments to Construction Workers: Accounting for the Brain Resource Requirements of Activities. In泭Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016泭(pp. 1897-1906).泭

    Amini, N., Aydos, C., Grzybowska, H., Wijayaratna, K., Dixit, V., & Waller, S. (2016). Network-Wide Evaluation of the State of the Art Coordinated Ramp Metering Systems. In泭Transportation Research Record. Washington DC, USA: National Academy of Sciences.

    Ghasri, M., & Rashidi, T., (2016) Capturing Heterogeneity in the Multinomial Logit Model by Implementing the Bagging Method, the 95th Annual meeting of Transportation Research Board, Washington D.C.

    Ghasri, M., & Rashidi, T., (2016) Modeling Reason and Time of Residential and Job Relocations: Application of a Simultaneous Nested Hazard Based Modeling Structure, the 95th Annual meeting of Transportation Research Board, Washington D.C.

    Grzybowska, H., Jayakumar Nair, D., & Rey, D. (2016). A Heuristic Approach for Welfare-oriented Periodic Food Recovery and Distribution Problems. In泭28th European Conference on Operational Research. 60-734 Poznan, Poland. Retrieved from泭.

    Hageman, D., Pereira, A. F., Zeidler, D., Knothe, U., Gardner, L., & Knothe Tate, M. L. (2016). Biogeographic and Google Maps Approaches to Unravel泭 Cellular Epidemiology of Human Disease. In泭Biomedical Engineering Society - FDA Frontiers in Medical Devices Conference. Washington,泭泭D.C., USA.

    Hassan, A., & Dixit, V. (2016). Factors influencing drivers intention of mobile phone use: Effects of drivers age. In泭34th Conference of Australian Institutes of Transport Research (CAITR). Brisbane, Australia

    Hassan, M. N., Hossein Rashidi, T., Waller, S. T., Nassir, N., & Hickman, M. (2016). Do travellers strategize when selecting their transit stop?. In TRB 95th Annual Meeting Compendium of Papers. Washington DC.

    Jayakumar Nair, D., Rey, D., & Dixit, V. (2016). Models For Food Rescue and Delivery: Routing And Resource Allocation Problem. In泭The 95th Transportation Research Board Annual Meeting. Washington, 泭D.C., USA.泭Retrieved from泭

    Jayakumar Nair, D., Saxena, N., & Dixit, V. (2016). Evaluating Perception Index for Cyclist's Safety to Determine the Minimum Overtaking Distance. In泭International Conference on Transportation and Development 2016. Houston, Texas,. doi:

    Jian, S., Rey, D., & Dixit, V. (2016). Dynamic Optimal Vehicle Relocation in Carshare Systems. In泭The Transportation Research Board 2016 Annual Meeting. Washington D.C.泭USA.

    Moylan, E. K., & Hossein Rashidi, T. (2016). Modelling Congestion And Travel Time With Hazard-Based Duration Analysis. In泭95th Transportation Research Board Annual Meeting. Washington泭泭D.C., USA.

    Reza Hosseini, M., Maghrebi, M., Chileshe, N., & Travis Waller, S. (2016). An Investigation into the Perceived Quality of Communications in Dispersed Construction Project Teams. In泭Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016泭(pp. 1813-1822). doi:

    Robson, E. N. & Dixit, V. V. (2016).泭'A Methodology for General Equilibrium Modelling of Transport Initiatives in Sydney'. In泭Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies (HKSTS). Hong Kong.泭10-12 December, 2016.

    Saxena, N., Rashidi, T., Dixit, V., & Waller, S.T. (2016).泭泭Presented at the 12th泭 Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC) conference. Mumbai, India.泭19-21 December 2016.泭

    Wijayaratna, K. P., & Wijayaratna, S. U. (2016). Quantifying the Impact of On-Street泭 Parking on Road Capacity: A Case Study of Sydney Arterial Roads. In泭The 95th Transportation Research Board Annual Meeting. Washington D.C., USA.

    Zhang, X., Rey, D., & Waller, S. T. (2016). Multiobjective Link-based Equitable Network Design Problem Incorporating Energy Consumption. In泭Proceedings of Transportation Research Board 95th Annual Meeting. Washington泭泭D.C., USA.

    泭
  • 2016

    泭Ahmadian Fard Fini, A., Akbarnezhad, A., Rashidi, T. H., & Waller, S. T. (2016). Job Assignments to Construction Workers: Accounting for the Brain Resource Requirements of Activities. In泭Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016泭(pp. 1897-1906).泭

    Amini, N., Aydos, C., Grzybowska, H., Wijayaratna, K., Dixit, V., & Waller, S. (2016). Network-Wide Evaluation of the State of the Art Coordinated Ramp Metering Systems. In泭Transportation Research Record. Washington DC, USA: National Academy of Sciences.

    Ghasri, M., & Rashidi, T., (2016) Capturing Heterogeneity in the Multinomial Logit Model by Implementing the Bagging Method, the 95th Annual meeting of Transportation Research Board, Washington D.C.

    Ghasri, M., & Rashidi, T., (2016) Modeling Reason and Time of Residential and Job Relocations: Application of a Simultaneous Nested Hazard Based Modeling Structure, the 95th Annual meeting of Transportation Research Board, Washington D.C.

    Grzybowska, H., Jayakumar Nair, D., & Rey, D. (2016). A Heuristic Approach for Welfare-oriented Periodic Food Recovery and Distribution Problems. In泭28th European Conference on Operational Research. 60-734 Poznan, Poland. Retrieved from泭.

    Hageman, D., Pereira, A. F., Zeidler, D., Knothe, U., Gardner, L., & Knothe Tate, M. L. (2016). Biogeographic and Google Maps Approaches to Unravel泭 Cellular Epidemiology of Human Disease. In泭Biomedical Engineering Society - FDA Frontiers in Medical Devices Conference. Washington,泭泭D.C., USA.

    Hassan, A., & Dixit, V. (2016). Factors influencing drivers intention of mobile phone use: Effects of drivers age. In泭34th Conference of Australian Institutes of Transport Research (CAITR). Brisbane, Australia

    Hassan, M. N., Hossein Rashidi, T., Waller, S. T., Nassir, N., & Hickman, M. (2016). Do travellers strategize when selecting their transit stop?. In TRB 95th Annual Meeting Compendium of Papers. Washington DC.

    Jayakumar Nair, D., Rey, D., & Dixit, V. (2016). Models For Food Rescue and Delivery: Routing And Resource Allocation Problem. In泭The 95th Transportation Research Board Annual Meeting. Washington, 泭D.C., USA.泭Retrieved from泭

    Jayakumar Nair, D., Saxena, N., & Dixit, V. (2016). Evaluating Perception Index for Cyclist's Safety to Determine the Minimum Overtaking Distance. In泭International Conference on Transportation and Development 2016. Houston, Texas,. doi:

    Jian, S., Rey, D., & Dixit, V. (2016). Dynamic Optimal Vehicle Relocation in Carshare Systems. In泭The Transportation Research Board 2016 Annual Meeting. Washington D.C.泭USA.

    Moylan, E. K., & Hossein Rashidi, T. (2016). Modelling Congestion And Travel Time With Hazard-Based Duration Analysis. In泭95th Transportation Research Board Annual Meeting. Washington泭泭D.C., USA.

    Reza Hosseini, M., Maghrebi, M., Chileshe, N., & Travis Waller, S. (2016). An Investigation into the Perceived Quality of Communications in Dispersed Construction Project Teams. In泭Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016泭(pp. 1813-1822). doi:

    Robson, E. N. & Dixit, V. V. (2016).泭'A Methodology for General Equilibrium Modelling of Transport Initiatives in Sydney'. In泭Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies (HKSTS). Hong Kong.泭10-12 December, 2016.

    Saxena, N., Rashidi, T., Dixit, V., & Waller, S.T. (2016).泭泭Presented at the 12th泭 Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC) conference. Mumbai, India.泭19-21 December 2016.泭

    Wijayaratna, K. P., & Wijayaratna, S. U. (2016). Quantifying the Impact of On-Street泭 Parking on Road Capacity: A Case Study of Sydney Arterial Roads. In泭The 95th Transportation Research Board Annual Meeting. Washington D.C., USA.

    Zhang, X., Rey, D., & Waller, S. T. (2016). Multiobjective Link-based Equitable Network Design Problem Incorporating Energy Consumption. In泭Proceedings of Transportation Research Board 95th Annual Meeting. Washington泭泭D.C., USA.

    2015泭

    Amini, N., Aydos, C., Wijayaratna, K., Grzybowska, H., Waller, S.T., (2015), , presented at Australasian Transport Research Forum 2015, Sydney, Australia. 30 September 2 October 2015.

    Amini, N., Grzybowska, H., Wijayaratna, K., and Waller , S.T., (2015) 泭. IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, Spain, 15-18 September 2015.

    Bertolaccini, K, Lownes, N.E. and Waller, S.T., (2015),泭,泭 presented at The 94th Annual Meeting of the Transportation Research Board, Washington D.C, USA. 11 - 15 January 2015.

    Chand, S., Dixit, V.V.泭'',泭Presented in the 20th International Conference of Hong Kong Society for Transportation Studies, 2015, Hong Kong, December 2015

    Chand, S., Chandra, S.泭'Implications of Curbside Bus Stops on Traffic Flow of Urban Arterials', Presented in the 3rd Conference of Transportation Research Group of India (CTRG) 2015, Kolkata, India, December 2015.

    Duell, M., Amini, N., Chand, S., Grzybowska, H., Saxena, N., and Waller, S.T. (2015).泭 , Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, Canary Islands, Spain, September 2015.

    Duell, M., Levin, M., Boyles, S. and Waller, S.T. (2015) , Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, Canary Islands, Spain, September 2015.

    Duell, M., Amini, N., Chand, S., Saxena, N., Grzybowska, H., Waller, S.T., (2015),泭,泭Presented at 37th泭Australasian Transport Research Forum (ATRF) 2015, Sydney, Australia. 30 September 2 October 2015.

    Ghasri, M., & Rashidi, T., (2015)泭'A System of Equations for Modelling the Reciprocal Interdependency between Residential Relocation and Job Relocation',泭14th International Conference On Travel Behaviour Research,泭Windsor, UK.

    Ghasri, M., & Rashidi, T., (2015)泭'Investigating the Effectiveness of the Bagging Method in Multinomial Logit Model',泭International Choice Modelling Conference, Austin, Texas USA.泭

    Ghasri, M., & Rashidi, T., (2015)泭'Residential Relocation Timing and Tenure Choice Modeling Structure: Competing Hazard-Based or Cause-Specific Formulation?', the 94th Annual meeting of Transportation Research Board, Washington D.C.泭11 - 15 January 2015.

    Ghasri, M., Rashidi, T., Waller, S.T., (2015)泭泭Novel System of Disaggregate Models for Travel Demand Modeling Using Decision Tree and Random Forest Concepts,泭presented at The 94th Annual Meeting of the Transportation Research Board, Washington D.C, USA. 11 - 15 January 2015.

    Grzybowska, H., Gretton, C., Kilby, P., Waller, S.T.,泭Presented at The 94th Annual Meeting of the Transportation Research Board, Washington D.C, USA. 11 - 15 January 2015. 泭

    Hammad, A. Akbarnezhad, A. Rey, D., (2015)泭'',泭ISARC 2015 Proceedings of the 32nd International泭Symposium on Automation and Robotics in Construction and Mining, Oulu, Finland.

    Hassan, A., Dixit, V., (2015)泭Confirmatory Factor Analysis of the Beliefs Influencing Drivers Mobile Phone Use',泭presented at 2015 Road Safety and Simulation International Conference, Orlando FL, USA. 6 8 October 2015.

    Hassan, A., Dixit, V., (2015) Effects of Driving Experience on the Beliefs of Drivers Mobile Phone Use',泭presented at 37th泭Australasian Transport Research Forum, Sydney, Australia. 30 September 2 October 2015.

    Hassan, A., Dixit, V., (2015)泭Impact of Risk Attitudes and Travel Time Perception on Route Choice',泭presented at 2015 Road Safety and Simulation International Conference, Orlando FL, USA. 6 8 October 2015.

    Hassan, M.N., Rashidi, T., Waller, S.T, Nassir, N., Hickman, M. (2015)泭Study of Users Travel Schemes in Transit Stop Choice Modelling, presented at 14th International Conference on Travel Behaviour Research, Windsor, UK. 19-23 July 2015.

    Hosseini, M.R., Maghrebi, M., Rameezdeen, R., Waller, S.T., (2015)泭, 32nd International Symposium on Automation and Robotics in Construction and Mining, Oulu, Finland, 15-18 June 2015.泭

    Jian, S., Wijayaratna, K., Hossein Rashidi, T., & Dixit, V. (2015). ','泭In The 94th Transportation Research Board Annual Meeting. Washington, D.C.泭USA. 11 - 15 January 2015.

    Leung, H. S., & Wijayaratna, K. P., (2015). . In泭The 20th International Conference of Hong Kong Society for Transportation Studies. Hong Kong. 12-14 December, 2015.

    Maghrebi, M., Abbasi, A., Rashidi, T.H., & Waller, S.T., (2015)泭'.泭Presented at the IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, Spain. 15 18 September 2015.

    Maghrebi, M., Shamsoddini, A., Waller, S.T., (2015)泭'',泭presented at 94th Transportation Research Board, Washington DC, USA. 11 - 15 January 2015.

    Maghrebi, M., Waller, S.T., Sammut, C., (2015)泭Reviewing the Ready Mixed Concrete Literature by using Text Mining Classification, 2nd International Conference on Civil and Building Engineering, Tokyo, Japan.泭 22-24 April 2015.

    Maghrebi, M., Waller, S.T. Sammut, C., (2015)泭'',泭in泭Journal of Building Engineering, Elsevier Ltd, pp. 17 - 23,

    Maghrebi, M., & Waller, S. T. (2015)泭'Exploring Experts Decisions in Concrete Delivery Dispatching Systems Using Bayesian Network Learning Techniques',泭In泭IEEE 2nd International Conference on Artificial Intelligence, Modelling and Simulation. Madrid, Spain.泭18-20 Nov 2014泭

    Moylan E.K.M., Rey D., Waller S.T., (2015)泭.泭Presented at the IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, Spain. 15 18 September 2015. doi:泭

    Moylan, E.K.M. & Skabardonis, A., (2015)泭Reliability- and Median-Based Identification of Toll Locations in a Connected Vehicle Context.泭presented at The 94th Annual Meeting of the Transportation Research Board, Washington D.C, USA. 11 - 15 January 2015.

    Moylan, E.K.M.; Gardner, L. & Dixit, V.V., (2015)泭,6th International Symposium on Transportation Network Reliability, Nara, Japan. 2 3 August 2015.

    Oniki, W.,泭 Tsukaguchi, H., Vandebona, U., (2015) ,泭Presented at the 11th International Conference of Eastern Asia Society for Transportation Studies (EASTS 2015), Cebu Philippines. 11-14 September 2015.

    Rey, D., Dixit, V.V., Ygnace, J-L., Waller, S.T., (2015) 'An Incentive-based Mechanism to Promote the泭Use of Off-peak Periods in Congested Networks',泭presented at The 94th Annual Meeting of the Transportation Research Board, Washington D.C, USA. 11 - 15 January 2015.

    Tsukaguchi, H., Vandebona, U., Mukai, H., Ahn, Y., (2015) ,泭Presented at the 11th International Conference of Eastern Asia Society for Transportation Studies (EASTS 2015), Cebu Philippines. 11-14 September 2015.

    Wen, T., Cai, C.; Gardner, L.; Dixit, V.V.; Waller, S.T.; Chen, F., (2015)泭泭', presented at The 94th Annual Meeting of the Transportation Research Board, Washington D.C, USA. 11 - 15 January 2015.

    Wen, T., Wijayaratna, K, Gardner, L., Dixit, V.,泭 Waller, S.T., (2015),泭,泭Presented at 37th泭Australasian Transport Research Forum (ATRF) 2015, Sydney, Australia. 30 September 2 October 2015.

    Xiong, Z., Dixit, V.V., Waller, S.T., (2015)泭,泭presented at 37th泭Australasian Transport Research Forum, Sydney, Australia. 30 September 2 October 2015.

    Zhang, X., Rey, D., Waller, S.T., (2015) Transportation Network Design Problem Considering Multiple Equity Measures, Presented at 37th泭Australasian Transport Research Forum (ATRF) 2015, Sydney, Australia. 30 September 2 October 2015.

    泭
  • 2014泭

    Ahmadian Fard Fini, A., Akbarnezhad, A., Hossein Rashidi, T., & Waller, S. T. (2014).泭Importance of Planning for the Transport Stage in Procurement of Construction Materials.泭泭 In ISARC 2014 Proceedings of the 31st International Symposium on Automation and Robotics in Construction and Mining (pp. 466-473). Sydney, Australia. 9-11 July 2014.

    Alqahtani, B., Libman, L., & Kanhere, S. (2014). A distributed mechanism for dynamic resource trading in cooperative mobile video streaming.泭泭In Proceeding of泭Institute of Electrical and Electronics Engineers Inc. (IEEE) International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, Sydney, Australia. 16-19 June 2014泭 doi:10.1109/WoWMoM.2014.6918996.

    Antoniou, J., Papadopoulou-Lesta, V., Libman, L., Pitsillides, A., & Dehkordi, H. R. (2014).泭Cooperation among access points for enhanced quality of service in dense wireless environments.泭 In Proceeding of泭Institute of Electrical and Electronics Engineers Inc. (IEEE) International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, Sydney, Australia. 16-19 June 2014. doi:10.1109/WoWMoM.2014.6918953

    Bastani, S., Libman, L., & Waller, S. T. (2014).泭Impact of beaconing policies on traffic density estimation accuracy in traffic information systems.泭泭In Proceeding of泭Institute of Electrical and Electronics Engineers Inc. (IEEE) International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, Sydney, Australia. 16-19 June 2014.泭 doi:10.1109/WoWMoM.2014.6918963

    Chand, S., Chandra, S., & Dhamaniya, A. (2014).泭Capacity Drop of Urban Arterial due to a Curbside Bus Stop.泭In International Conference on Sustainable Civil Infrastructure 2014. Hyderabad, India. 17-18 Oct 2014

    Chen, N., Gardner, L., Duell, M., & Waller, S. T. (2014).泭Evaluating Location Alternatives for Electric Vehicle Re-charging Infrastructure Using a Distance Constrained Equilibrium Assignment Model.泭泭In TRB 93rd Annual Meeting Compendium of Papers. Washington, DC USA. 12-16 Jan 2014.泭

    Dixit, V., Trieu, J., Jian, S., and Li, X. (2014)泭'Value of travel time savings for carshare users in Sydney.'泭Proceedings of Australian Institute of Traffic Planning and Management (AITPM) National Conference, 2014, Adelaide, Australia. 28-31 Jul 2014.

    Duell, M., Gardner, L. M., Dixit, V., & Waller, S. T. (2014). Evaluation of a strategic road pricing scheme accounting for day-to-day and long term demand uncertainty.泭 In Proceedings of the 93rd Annual Meeting of the Transportation Research Board. Washington DC USA. 12-16 Jan 2014.泭

    Duell, M., Levin, M., & Waller, S. (2014).泭The effect of road elevation on network wide vehicle energy consumption and eco-routing.泭In Proceedings of the 93rd Annual Meeting of the Transportation Research Board. Washington DC USA. 12-16 Jan 2014.

    Duell, M., Levin, M,. Waller, S. T. 泭(2014)泭'On Estimating Vehicle Energy Consumption Using Dynamic Traffic Assignment Vehicle Trajectories.'泭 5th International Symposium on Dynamic Traffic Assignment. Salerno, Italy. 泭17-19 Jun 2014

    Duell, M., Levin, M,.泭Waller, S. T. 泭(2014)泭'Urban Vehicle Energy Consumption For Policy Evaluation: Impact Of Electric Vehicles.'泭In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure. Hong Kong, 13-15 Dec 2014.

    Hammad, A., Rey, D., & Akbar Nezhad, A. (2014).泭A mixed-integer nonlinear programming model for minimising construction site noise levels through site layout optimization.泭In ISARC 2014 Proceedings of the 31st International Symposium on Automation and Robotics in Construction and Mining (pp. 722-729). Sydney, Australia. 9-11 July 2014.

    Jian, S., Suwito, D., and Dixit, V. (2014).泭Advertising on transportation networks.泭Proceedings of the 19th Hong Kong Society of Transportation Studies Annual Conference. Hong Kong, 13-15 Dec 2014

    Li, X., Jian, S., Rey, D., & Dixit, V. V. (2014).泭'Optimal Spatial Allocation Of Budget To Promote Uptake Of New Vehicle Technology.'泭Proceedings of the 19th Hong Kong Society of Transportation Studies Annual Conference. Hong Kong, 13-15 Dec 2014.

    Libman, L., Bastiani, S., Waller, S.T. (2014)泭泭'Real-Time Traffic Monitoring using Wireless Beacons with the Cell Transmission Model.'泭17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, China. 08-11 Oct 2014.

    Maghrebi, M., Periaraj, V., Waller, S. T., & Sammut, C. (2014).泭Solving Ready-Mixed Concrete Delivery Problems: Evolutionary Comparison between Column Generation and Robust Genetic Algorithm.泭In R. Issa (Ed.), ASCE -泭Computing in Civil and Building Engineering. Orlando, USA, 23-25 Jun 2014.泭泭doi:10.1061/9780784413616.176

    Maghrebi, M., Periaraj, V., Waller, S. T., & Sammut, C. (2014).泭Using Benders Decomposition for Solving Ready Mixed Concrete Dispatching Problems.泭 In ISARC 2014 Proceedings of the 31st International Symposium on Automation and Robotics in Construction and Mining, (pp672-681). Sydney, Australia. 9-11 July 2014.

    Maghrebi, M., Rey, D., Waller, S. T., & Sammut, C. (2014).泭Reducing the Number of Decision Variables in Ready Mixed Concrete for Optimally Solving Small Instances in a Practical Time.泭In Proceedings CSCE 2014 Canadian Society for Civil Engineering General Conference. Halifax: Canada. 28-31 May 2014

    Maghrebi, M., Waller, S. T., & Sammut, C. A. (2014).泭Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method.泭In 7th European Modelling Symposium on Mathematical Modelling and Computer Simulation IEEE. (pp. 375-380). Manchester, UK: 20 - 22 Nov 2013, doi:10.1109/EMS.2013.64

    Maghrebi, M. (2014)泭'Optimizing Large Scale Concrete Delivery Problems.'泭Society for Industrial and Applied Mathematics Conference on Optimization (OP14), San Diego, USA, 19 - 22 May 2014

    Reisi Dehkordi, H., & Libman, L. (2014). Optimal Routing for Bidirectional Flows with Network Coding in Asymmetric Wireless Networks.泭In 2014 International Conference on Computing, Networking and Communications (ICNC), IEEE. (pp. 439-444). Honolulu, USA: 3-6 Feb 2014 doi:10.1109/ICCNC.2014.6785375

    Rey, D., Dixit, V. V., & Waller, S. T. (2014).泭Stochastic Scenario-based Time-Dependent Shortest Path.In 3rd INFORMS Transportation Science and Logistics Society Workshop., Chicago, USA, 30 Jun - 02 Jul 2014 泭

    Rey, D., Duell, M., Dixit, V. V., & Waller, ST. (2014). A Path Enumeration Algorithm for Strategic System Optimal Dynamic Traffic Assignment.泭In DTA 2014 5th International Symposium on Dynamic Traffic Assignment. Salerno, Italy. 17 19 Jun 2014

    Rey D, Maghrebi M, Waller ST.' A Single Depot Concrete Delivery with Time Windows Model Using Integer and Assignment Variables.'泭In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure. Hong Kong, 13-15 Dec 2014.

    Wen, T., Chen, C., Gardner, L., Dixit, V. V., & Waller, S. T. (2014).泭A Least Squares Method For Origin-Destination Estimation Incorporating Variability Of Day-To-Day Travel Demand.泭In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure. Hong Kong, 13-15 Dec 2014.

    Wen, T., Gardner, L., Dixit, V., Duell, M., & Waller, S. (2014).泭A Strategic User Equilibrium Model Incorporating Both Demand and Capacity Uncertainty.泭In TRB 2014 Compendium of Papers DVD. Washington, DC. 12-16 Jan 2014

    Wijayaratna, K. P., Labutis, L. N., & Waller, S. T. (2014).泭Dynamic User Optimal Traffic Assignment with Recourse.泭In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure. Hong Kong, 13-15 Dec 2014.

    Xiong, Z., Carsten, O., Jamson, H., & Cohn, A. G. (2014).泭'Task-Driven Framework for Driving Simulation: Scenario Orchestration with Autonomous Simulated Vehicles.'泭In泭Proceedings of the 93rd Annual Meeting of the Transportation Research Board.. Washington DC, USA.泭12-16 Jan 2014.泭

    Xiong, Z., Rey, D., Mao, T., Liu, H., Dixit, V. V., & Waller, S. T. (2014).泭'A Three-Stage Framework for Motorway Travel Time Prediction.'泭In泭Proceedings泭of the 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC)泭(pp. 816-821). Qingdao, China.泭08-11 Oct 2014.

    Xiong, Z., Rey, D., Dixit, V. V., & Waller, S. T. (2014).泭'An Algorithmic Framework for the Scheduling of Construction Projects based on Ant Colony Optimization and Expert Knowledge.'泭泭In泭Proceedings泭of the 2014 IEEE 17th International Conference on Intelligent Transportation Systems泭泭(pp. 2446-2452). Qingdao, China.泭08-11 Oct 2014.

    2013

    Arbis,D., Hossein Rashidi, T., Dixit, V., & Vandebona, U., (2013). ''.泭36th Australasian Transport Research Forum (ATRF) Annual Conference, Brisbane, QLD Australia. 2-4 October 2013.泭

    Chen, N., Duell, M., Waller, S. T., & Gardner, L. (2013). ''.泭36th Australasian Transport Research Forum (ATRF) Annual Conference, Brisbane, QLD Australia. 2-4 October 2013.泭

    Dixit, V., Harb, R., Martinez, J., & Rutstrom, E. (2013) ''.泭Transportation Research Board 92nd泭Annual Meeting, Washington DC USA. 13- 17 January 2013.泭

    Dixit, V., & Hossein Rashidi, T (2013) 'Modelling Likelihood of At-Fault and Not-At-Fault Carshare Users'.泭Road Safety and 泭Simulation - International Conference RSS2013, Rome, Italy. 23-25 October 2013.泭

    Dixit, V., & Zhang, Z. (2013) 'Integration Of Cell Transmission Model And Macroscopic Fundamental Diagram: Network Aggregation For Dynamic Traffic Models'.泭18th International Conference of the Hong Kong Society for Transportation Studies: Transportation and Infrastructure, Hong Kong. 14-16 December 2013.泭

    Dixit, V. V., Gardner, L. M., & Waller, S. T. (2013). '.泭Transportation Research Board 92nd泭Annual Meeting, Washington DC, USA. 13- 17 January 2013.泭

    Duell, M., Dixit, V., & Waller, T. (2013) 'Strategic System Reliable Formulation for Traffic Assignment'.泭OPTIMUM 2013 International symposium on recent advances in transport modelling, Gold Coast, QLD Australia. 21-23 April 2013.泭

    Duell, M., Gardner, L., Dixit, V., & Waller, S. T. (2013). ''.泭36th泭Australasian Transport Research Forum (ATRF) Annual Conference, Brisbane, QLD Australia. 2-4 October 2013.

    Duell, M., Gardner, L. M., & Waller, S. T. (2013). 'Multiobjective Traffic Network Design Accounting for Plug-in Electric Vehicle Energy Consumption'.泭Transportation Research Board 92nd泭Annual Meeting, Washington DC, USA. 13- 17 January 2013.泭

    Duell, M., Wen, T., & Waller, S. T. (2013). 'A linear program network design model incorporating system optimal strategic dynamic traffic assignment behaviour'. 18thInternational Conference of Hong Kong Society for Transportation Studies (HKSTS) 2013, Hong Kong. 14-16 December 2013.泭

    Edwards, L., Ly, N., Kemp, J., Tran, M., & Dixit, V. (2013/04/15/). 'Framework to Evaluate Policy for Promotion of Electric Vehicles'.泭Transportation Research Board 92nd Annual Meeting, Washington, DC USA. 13-17 January 2013.泭

    Gardner, L. M., Bar-Gera, H. and Boyles, S.D (2013). 'An Evaluation Framework for High-Occupancy/Toll (HOT) Lanes'. 92nd泭Annual meeting of the Transportation Research Board, Washington, DC USA. 13-17 January 2013.泭

    Gardner, L. M., Duell, M., Waller, S. T., & MacGill, I. F. (2013).泭'The system impact of travel demand variability in the context泭of electric vehicles'.泭46th Annual Hawaii International Conference on System Sciences, HICSS 2013, Grand Wailea, Maui, Hawaii, USA. 7-10 January 2013.泭

    Hossein Rashidi, T., Toop, E., Liu, X., & Kanaroglou, P., (2013). 'Emissions And Built Form - An Analysis Of Six Canadian Cities'.泭Transportation Research Board 92nd泭Annual Meeting, Washington DC USA. 13- 17 January 2013.泭

    Hossein Rashidi, T., & Hironobu, Hasegawa. (2013/10/02/). 'A泭simultaneous system of models for disaggregate trip generation, mode choice and destination'.泭European Transport Conference, Frankfurt, Germany. 30 September 2013.泭

    Libman, L., Paschos, G., Georgiadis, L., & Zhao, X. (2013).泭'Throughput Regions and Optimal Policies in Wireless Networks with Opportunistic Routing'.泭IEEE, 2013 11th International Symposium on Modeling and Optimization in Mobile, Ad hoc and泭Wireless Networks (WiOpt), Tsukuba, Japan. 13-17 May 2013.泭

    Maghrebi, M., Waller, S. T., & Sammut, C. A. (2013). 'Integrated Building Information Modelling (BIM) With Supply Chain and Feed-Forward Control'.泭Creative Construction Conference 2013, Budapest, Hungary. 6-9 July 2013.

    Maghrebi, M., Waller, T. S., & Sammut, C. (2013) 'Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method'.泭IEEE 7th European Modelling Symposium (EMS) 2013. Manchester, UK. 20-22 November 2013.

    Mehran, F., Hossein Rashidi, T., & Abolfazl, M., (2013). 'Investigating the Transferability of Individual Trip Rates: A Decision Tree Approach'.泭Transportation Research Board 92nd Annual Meeting, Washington DC USA. 13-17 January 2013.泭

    Rambha, T., Boyles, S. D., & Waller, S. T. (2013). 'Adaptive Transit Routing in Stochastic Time-Dependent Networks'.泭Paper presented at the Transportation Research Board 92nd Annual Meeting, Washington DC, USA. 13-17 January 2013.泭

    Sen, B., Libman, L., Zhao, X., & Jha, S. (2013).泭'An end-to-end delay metric for multi-rate wireless mesh networks with泭cooperative retransmission'.泭IEEE 38th泭Conference on Local Computer Networks (LCN), Sydney NSW Australia. 21-24泭October 2013.泭

    Vandebona, U., Hsia, H. C., Yeh, K. Y., & Tsukaguchi, H. (2013/09/09/). 'The Study of Relationships among Psychological Factors, Acceptable Walking Distance, and Reported Walking Distance for Shopping Trips'.泭10th International Conference of Eastern Asia Society for Transportation Studies (EASTS), Taipei, Taiwan. 9-12 September 2013.泭

    Vandebona, U., Tajima, Y., Tsukaguchi, H., & Hsia, H. C. (2013/12//). 'Relationships among Lifestyle Attributes and Attitudes toward Pedestrian Facilities'.泭10th泭International Conference of Eastern Asia Society for Transportation Studies (EASTS), Taipei, Taiwan. 9-12 September 2013.泭

    Vandebona, U., Tsukaguchi, H., & Mukai, H. (2013/07/15/). 'Study Of Sign System Improvement In A Historical Park Based On Before And After Comparisons'.泭World Conference on Transport Research (WCTR), Rio de Janeiro, Brazil. 15-18 July 2013.泭

    Wang, S., Gardner, L. M., & Waller, S. T. (2013). 'Global Optimization Method for Robust Pricing of Transportation Networks Under Uncertain Demand'.泭Transportation Research Board 92nd Annual Meeting, Washington DC, USA. 13-17 January 2013.泭

    Wijayaratna, K. P., Duell, M., & Waller, S. T. (2013). 'Predicting disrupted network behaviour incorporating user equilibrium with recourse'.泭18th International Conference of Hong Kong Society for Transportation Studies (HKSTS) 2013, Hong Kong. 14-16 December 2013.泭

    Zhang, T., Boyles, S. D., & Waller, S. T. (2013). 'Modeling Combined Travel Choices of Electric Vehicle Drivers with a Variational Inequality Network Formulation'.泭Paper presented at the Transportation Research Board 92nd Annual Meeting, 泭Washington DC, USA. 13-17 January 2013.泭

    Zhang, T., Xie, C., & Waller, S. T. (2013). 'Network Flows of Plug-In Electric Vehicles: Impacts of Electricity-Charging Price'.泭Paper presented at the Transportation Research Board 92nd Annual Meeting, Washington DC, USA. 13-17 January 2013.

    2012

    Antoniou,泭J., 泭Papadopoulou,泭V., 泭Libman,泭L., & 泭Pitsillides, A. (2012),泭'Minimizing Interference in Unmanaged Environments of Densely Deployed Wireless Access Points Using a Graphical Game Model', Annual Mediterranean Ad Hoc Networking Workshop (Med Hoc Net), Ayia Napa, Cyprus, June 2012.

    Dixit, V. V., Alsup, R. M., Waller, S. T., Love, B. C., & et al, (2012),泭A Static Model for Predicting Disrupted Network Behaviour, The 17th International Conference of Hong Kong Society for Transportation Studies (HKSTS), Hong Kong, 15-17 December, 2012.

    Dixit, V. V., & Ishak, S. (2012),泭Behavioral Model for Stochastic Characteristics of Speed Transitions, Transportation Research Board 91st Annual Meeting, Washington DC, USA, 22-26 January, 2012.

    Dixit, V. V., & Pande, A. (2012),泭Choice of Time Spent Accelerating as Drivers State- Based Utility Maximization Mechanism,泭Transportation Research Board 91st Annual Meeting, Washington DC, USA, 22-26 January, 2012.

    Fajardo, D., & Waller, S. T. (2012),泭A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation, Transportation Research Board 91st Annual Meeting, Washington DC, USA, 22-26 January, 2012.

    Fajardo, D, Waller, ST, Duell, M, & Dixit, V V (2012),泭Linear Programming Formulation for Strategic Dynamic Traffic Assignment,泭4th International Symposium on Dynamic Traffic Assignment, Marthas Vineyard, Massachusetts, USA , 4-6 June 2012.

    Georgiadis,泭L ,泭Paschos,泭G.S. 泭Tassiulas,泭L, &泭Libman,泭L (2012),泭泭'Stability and Capacity through Evacuation Times',泭IEEE Information Theory Workshop (ITW), Lausanne, Switzerland, September 2012.泭

    Karimi, B, Hossein Rashidi, T, Mohammadian, A, & Sturm, K. (2012),泭A log-normal accelerated failure time (AFT) model for inter-shopping duration of maintenance shopping activities of nonroutine elderly shoppers,泭Transportation Research Board 91st 泭Annual Meeting, Washington DC, USA, 22-26 January, 2012.

    Nezamuddin, N, & Waller, ST (2012),泭Improving Efficiency of Dynamic Traffic Assignment Through Computational Methods Based on Combinatorial Algorithm,泭Transportation Research Board 91st Annual Meeting, Washington DC, USA, 22-26 January, 2012.

    Parr, S., Dixit, V. V., & Wolshon, B. (2012), Factors Influencing Location of Police Traffic Control Points During Emergencies, Transportation Research Board 91st Annual Meeting, Washington DC, USA, 22-26 January, 2012.

    Sen,泭B., 泭Zhao,泭X., Libman, L., &泭Jha, S. (2012)泭泭'Relay-Aided High-Throughput Path Selection in Multi-rate Wireless Mesh Networks',泭泭ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Paphos, Cyprus, October 2012.

    泭

Conference - full paper, not refereed

  • Hassan, A., & Dixit, V., (2015)泭泭presented at 33rd Conference of the Australian Institutes of Transport Research, Melbourne, Australia. 12 - 13 February 2015. 泭

    Huang, Y., Hossein Rashidi, T., & Gardner, L., (2015)泭'The Global Maritime Container Network: An Application of Conventional Transportation Modelling Techniques',泭presented at 33rd Conference of the Australian Institutes of Transport Research, Melbourne, Australia. 12 - 13 February 2015.泭

    Robson, E., & Dixit, V., (2015) '泭泭presented at 33rd Conference of the Australian Institutes of Transport Research, Melbourne, Australia. 12 - 13 February 2015.泭

    Saxena, N., Dixit, V., & Waller, S.T., (2015)泭泭presented at 33rd Conference of the Australian Institutes of Transport Research, Melbourne, Australia. 12 - 13 February 2015.泭

    泭

  • Amini, N (2014)泭presented at 3rd泭Conference of the Australian Institutes of Transport Research, Sydney, Australia. 17-18 February 2014.

    Ghasri, M., & Hossein Rashidi, T., (2014)泭,泭presented at 3rd泭Conference of the Australian Institutes of Transport Research, Sydney, Australia. 17-18 February 2014.

    泭

  • Dixit, V V, Harrison, GW, & Rutstrom, EE (2012), The Subjective Risks of Driving, Foundations and Applications of Utility, Risk and Decision Theory, Atlanta, Georgia, 30泭June - 3 July 2012.

    Vandebona, U, & Tsukaguchi, H (2012), , International Seminar on Theory and Application of Pedestrian Travel Culture, Ministry of Public Works and Transport, Vientiane, Lao PDR, April 2012.

Posters

Posters are commonly used in the academic community and maybe included in many conferences. A Research posters allow information fund to be presented in a summarised visual form and will facilitates discussion. Poster generally contain text, tables, graphs, pictures, and other presentation formats. At conference a researcher will stands beside the poster display enable others to come to view and discuss and interact with the author/co-author.

Please find below posters rCITI's researchers presented a recent conferences:
  • Posters presented at泭Transportation Research Board

    Walter E. Washington Convention Center.泭Washington DC, USA
    January 812,泭2017

    Sai Chand

    Co-Author(s):泭Gregory Aouad, Vinayak Dixit

    Title:泭

    Long-range dependence of traffic flow and speed of a Motorway: dynamics and correlation with historical Incidents.

    Abstract:泭Speed and flow of vehicles tend to have several effects on the dynamics of a transport system. Fluctuations of these variables can implicate congestion, lower predictability and may even catalyze crashes. This paper utilizes a concept of fractal theory called the Hurst exponent, a measure of the long-range dependence (LRD) of a time-series to understand the fluctuations in flow and speed of a motorway in Sydney, Australia. The spatial and temporal variation of LRD for flow (Hflow) and speed (Hspeed) at several monitor sites were discussed. Furthermore, the effects of number of lanes on flow and speed predictability were also explored. It was observed that the flow predictability of 2-lane sections is significantly lower when compared with 3-lane and 4-lane sections. Conversely, the speed predictability of 4-lane sections is significantly higher than 2-lane and 3-lane sections. Finally, traffic congestion was defined in terms of LRD of speed and its correlation to historical incident rates was measured. It was ascertained that monitor sites with a historically high proportion of large泭Hspeed, were correlated with unsafe locations. It is anticipated this study would lead to many applications of fractal analysis on highways and urban traffic.

    Hanna Grzybowska

    Co-Author(s):泭Daniel Guimarans

    Title:泭Real-Time Field Service Engineer Scheduling Problem with Emergencies and Collaborations a SimulationOptimization Approach.

    Abstract:泭 泭We address the real-time Field Service Engineer (FSE) routing and scheduling problem encountered in human resources operations. For many companies the assignment of FSEs to jobs is challenging due to the dynamic occurrence of job requests. This adds up to contractual conditions generally imposing hard service time windows (TW) and high service standards, e.g. maximum response time to an emergency. The problem also includes further constraints defining: (i) collaborations between the FSEs (if needed), and (ii) different levels of jobs emergency (the higher the job emergency, the faster reaction is required). An additional factor, usually neglected, which needs to be considered is the comfort of the FSEs regarding the route stability. To account for this aspect we propose a novel methodological approach that aims at mitigating the disruption propagation in addition to the minimization of the operational cost - i.e. if a FSE is not assigned to an emergency, his planning should not change, or suffer minimal deviations if close to the emergency location. To solve the problem, we designed an event-driven simulation-based optimization approach using Large Neighborhood Search. This research is a result of a commercial engagement with industry and provides results for the real-life inspired scenarios.

    Chenyang Li

    Co-Author(s):泭Vinayak Dixit.泭

    Title:泭Estimating The Subjective Risks In Car Following

    Abstract: 泭Decision-making theory enables us to consider the car-following behaviour from a behavioural perspective. The aim of this study is to propose a behavioural car-following model incorporating risk attitude and risk perception based on the subjective expected utility (SEU) theory. Risk perception is related to the subjective probability of getting involved in a rear-end collision that is dependent on the space headway perceived by drivers. To demonstrate the validity of the proposed car-following model, the steady-state condition is also considered. In the proposed car-following model, the coefficients of risk attitude, standard deviation of the perceived space headway and vehicle weight are estimated using the Next-Generation Simulation (NGSIM) vehicle trajectory data. The steady-state model is estimated using the Next-Generation Simulation (NGSIM) loop detector data. It is notable that the estimates of the proposed car-following model are consistent with the estimation 泭results of the steady-state model. This study analyses the car-following behaviour in four situations: 1) a car follows a car, 2) a car follows a truck, 3) a truck follows a car and 4) a truck follows a truck. An important finding of this study is that drivers are risk averse in these four car-following conditions. This is consistent with the finding from laboratory experiments by Vinayak et al. (1). Furthermore, truck drivers while following a car have the relatively high standard deviation of the perceived space headway, which implies that truck drivers are more prone to make the erroneous perception of space headway when following a car.

    Edward Robson

    Co-Author(s):泭Vinayak Dixit.

    Title:泭Constructing A Database For Computable General Equilibrium Modelling Of The Sydney Transport Network

    Abstract: 泭In the search for benefits to justify transport projects, economic appraisals have increasingly incorporated the valuation of impacts to the wider economy. Computable general equilibrium (CGE) models provide a framework to estimate these impacts by simulating the interactions of urban economies and transport networks. In CGE models, households and firms are represented with microeconomic behavioural functions and markets adjust according to 泭prices. As markets both within and outside the transport network are taken into account, a 泭wide variety of measures which can assist in economic appraisals can be extracted. However, urban CGE models are computationally burdensome and require detailed, spatially 泭disaggregate data. This paper discusses the methodology used to develop a database, including an inputoutput table, for the calibration of an urban CGE model for Sydney, Australia. Official and publicly available data sources were manipulated using a number of mathematical and statistical techniques to compile the table for 249 regions and 20 sectors across Sydney. Issues that other inputoutput table developers may encounter when constructing multiregional tables were addressed in the study, such as determining the appropriate level of disaggregation, generating incomplete data and managing conflicting data. The table entries themselves were mapped and explored as they provide an interesting study of the spatial economy of Sydney. Future work will focus on streamlining the construction of inputoutput tables and incorporating new data sources.

    Neeraj Saxena

    Co-Author(s):泭Taha H Rashidi, Vinayak Dixit, S. Travis Waller.泭

    Title:泭Influence Of Number Of Stop-&-Gos On The Route Choice Behavior 1 Of Car Drivers In Urban Road Networks

    Abstract:泭Stop-&-go (S&G) waves are prevalent in congested traffic conditions and are characterized by cyclic patterns of forced deceleration followed by acceleration. These cause increased fuel emissions, safety risks and also impact drivers physiology. Due to its frequent and annoying nature, drivers tend to avoid traveling on routes with more occurrences of S&G waves. Past studies have shown that route choice is often influenced by the amount of time spent in S&G traffic. However, this attribute is not a good proxy to discomfort when compared to the number of S&Gs experienced. The objective of this study was to test the hypothesis: an increase in the number of stop-&-gos on a route increases its disutility. A stated choice experiment was conducted to study the route choice behavior of respondents who drove regularly to university campus by car. A status quo random parameter logit (SQ-RPL) model was used for analysis to account for the preference heterogeneity among individuals and the correlation across multiple choice tasks due to the presence of a status quo alternative. Results indicated an increased disutility on routes with larger number of S&Gs, which validated the hypothesis proposed in this study. The study also found that drivers, on average, were willing to travel for additional 16 seconds to reduce the occurrence of S&G by one on their traveled route. This study mainly contributes towards developing models that can inform current traffic assignment models to account for an impact of the number of S&Gs on route choice.

    Neeraj Saxena

    Co-Author(s):泭 Vinayak Dixit, S. Travis Waller.泭

    Title:泭Consistency Between Convergence Of Dynamic Assignment And Stochasticity Of Microsimulation: Implication On The Number Of Runs.

    Abstract:泭Dynamic transportation models route vehicles using the principles of dynamic user equilibrium (DUE). These models include a dynamic network loading (DNL) module which is used to evaluate link costs. However, an element of stochasticity creeps into the modelling framework when the analytical dynamic assignment (DA) procedure is used along with a stochastic microscopic DNL. A methodologically correct way of solving this problem is through solving the entire DA with a microscopic DNL (DA-MicroDNL) model until convergence for a given random seed, and then repeating the process with different seed values. This study proposes an approach to determine the minimum number of replications of the DA-MicroDNL model to determine a statistically valid estimate of the measure of effectiveness (MoE). The approach was tested on a small and medium sized network having different demand and network characteristics. Results show that running the integrated DA-MicroDNL framework for a minimum number of replications provides a statistically significant MoE at much lower computation time. The consistent estimates obtained using this approach would provide robust information to transportation planners and practitioners in evaluating the impacts of several policy decisions on network performance.

    Kasun P. Wijayaratna

    Co-Author(s):泭Vinayak Dixit, Laurent Denant-Boemaont, S. Travis Waller.泭

    Title:泭Does en-route information improve road network performance? An experimental study of the online information paradox

    Abstract:泭This study investigates the empirical presence of a theoretical transportation paradox, defined as the Online Information Paradox (OIP). The paradox suggests that the provision of online information deteriorates trip conditions for the entire network relative to the scenario where information is not provided to users. The analytical presence of the paradox was derived for the specific network structure by using two equilibrium models, the first being the Expected User Equilibrium (EUE) solution (no information) and the other being the User Equilibrium with Recourse (UER) solution (with information). A laboratory economic experiment is used to involve an incentivized computerized route choice game that investigates the physical presence of the paradox.泭

    Aggregate statistics of path flows and Total System Travel Cost (TSTC) were used to compare the experimental results with the theoretical findings. A total of 12 groups of 12 participants completed the experiment and the OIP was observed in 11 of the 12 cases, its occurrence being highly significant. Though information increased travel costs for users on average, it reduced the volatility of Travel costs experienced in the no information scenario indicating that information can achieve a more reliable system. Further replications of such experiments and more importantly field based identification of the phenomena will force transport professionals to not only be aware of the emergence of the paradox but also emphasize the need for the adoption of adaptive traffic assignment techniques such as UER to appropriately model the acquisition of information on a road network.

    Xiang Zhang

    Co-Authors:泭S. Travis Waller, David Rey, Nathan Chen, David Rey

    Title:泭Aggregated Transportation Network Design Problem Considering Electric Vehicle Recharge Facility Allocation.

    Abstract:泭

    This study addresses the transportation network design problem (NDP) wherein the distance limit and en-route recharge of electric vehicles are taken into account. Specifically, in this work, the network design problem aims to select the optimal planning policy from a set of infrastructure design scenarios considering both road expansions and charging station allocations under a specified construction budget. The user-equilibrium mixed-vehicular traffic assignment problem with en-route recharge (MVTAP-ER) is formulated into a novel convex optimization model and extended to a newly developed bi-level program of the aggregated NDP integrating recharge facility allocation (NDP-RFA). In the algorithmic framework, a convex optimization technique and a tailored GA are adopted for, respectively, solving the subproblem MVTAP-ER and the primal problem NDP-RFA. Systematic experiments are conducted to test the efficacy of the proposed approaches. The results highlight the impacts of distance limits and budget levels on the project selection and evaluation. The results also report that the two design objectives, to respectively minimize the total system travel time and vehicle miles travelled, are conflicting for certain scenarios.

    Xiang Zhang

    Co-Authors:泭S. Travis Waller, David Rey, Melissa Duell.

    Title:Integrating Uncertainty Considerations into the 1 Sustainable Transportation泭Network Design

    Abstract:泭Few previous works integrated both uncertainty and environment disruption into the traffic network design problem (NDP), despite the critical impact of these two factors in sustainable transportation planning. This study aims to address this gap. First, the mathematical framework of the strategic user equilibrium (StrUE) traffic assignment under volatility of both total travel demand and link capacity is analyzed, which reflects disequilibrium observed in traffic networks. Second, we incorporate the StrUE traffic assignment model into a network design project and propose a multiobjective bi-level program for the sustainable NDP. Two objective functions are formulated, which are respectively to minimize the expected total system travel time and minimize the expected total system off-gas emissions in the uncertainty-based NDP. Third, in the algorithmic framework, we develop two tailored solution methods one is an exact algorithm and the other one is a metaheuristic method based on a genetic algorithm. Finally, systematic evaluation of the performance of the proposed approach is conducted on three different test networks. The results highlight that ignoring uncertainty considerations can result in sub-optimal design solutions in terms of expected network performance in long-term transportation planning decisions. The results also report that the two objectives, to minimize system-level travel time and vehicle emission, are conflicting for certain uncertainty-based design scenarios.泭

    泭
    Posters presented at 泭2016/17 Taste of Research Program Faculty Poster Presentation Showcase

    UNSW, John Niland Scientia, Sydney
    Thursday 23 February 2017

    Catherine Duong

    Title:Impact of technological distractions on pedestrian behaviour

    Linzhi Huang

    Title:Workforce Scheduling and Routing Problem

    Ming En Chin

    Title:Logistics in humanitarian emergency operations

    Steven Quach

    Title:Integrating Supply Information with Construction Monitoring Procurement

    泭
  • Nima Amini

    Co-Authors:泭Hanna Grzybowska, Kasun P Wijayaratna, Vinaya Dixit, S. Travis Waller

    Title:

    Abstract:泭Ramp metering is a traffic management technique aimed at controlling the flow of traffic entering motorways and freeways, thus minimising congestion on the main thoroughfare. This technique has been studied and implemented globally since the 1960s attracting debate over the deficiencies and merits of the system. To date, there has not been a consensus on an evaluation methodology concerning the implementation of ramp metering.

    This paper attempts to extend previous methodologies for evaluating ramp metering algorithms. The study conducted a comprehensive review of past applications, feasibility studies and research studies of ramp metering solutions to understand the key aspects of methodologies applied to date. Two main patterns were found in the literature, firstly, evaluations of the systems are typically conducted using before-after studies or simulation based studies. Secondly, evaluations have primarily focussed on the costs and benefits related to the performance of the motorway without consideration of system wide impacts.

    This research proposes a novel evaluation methodology facilitating the evaluation of the impacts of ramp metering system on the entire network. The evaluation methodology has then been applied to a case study in Sydney, Australia using microsimulation to compare two state-of-the-art ramp metering algorithms. Results and outcomes of the application are presented with the aim of understanding the key performance metrics and factors which affect the successful implementation of these ramp metering solutions in a network wide context. In addition to the performance measures, other factors which affect the successful implementation of ramp meters are explored through direct interviews with the road authorities that have implemented ramp metering within Australia and New Zealand.

    Nima Amini

    Co-Authors:泭Taha Hossein Rashidi, Lauren Gardner, S. Travis Waller

    Title:泭Spatial Aggregation Method For Anonymous Surveys: A Case Study 泭For The Associations Between The Urban Environment And Obesity

    Abstract:泭Obesity and other chronic diseases are becoming more prevalent in affluent countries such as Australia, and as such researchers are trying to understand and combat this trend. One related growing stream of research explores the role of the built environment and the transport system on an individual's weight. However, results from many of the studies conducted have been contradictory. One of the primary causes of these contradictions is due to the way the neighborhood area is defined, which directly affects how the built environment variables are calculated in GIS. The potential impacts on regression analysis resulting from different data aggregation methods are well documented in spatial studies, geography and regional planning fields, and it is primarily referred to as the Modifiable Aerial Unit Problem (MAUP). In this paper, the focus is on reducing the error caused by MAUP by introducing a new data aggregation method. Individual health and lifestyle data are obtained from the Household, Income and Labour Dynamics in Australia (HILDA) survey, and the relationship between the built environment and obesity is evaluated using a discrete choice model. The proposed aggregation method is evaluated across three spatial scales, and compared against a conventional data aggregation method (i.e. utilizing predefined administrative boundaries such as census tracts). The results reveal a stronger relationship between land use variables and obesity when the proposed aggregation method is implemented.

    This paper is relevant primarily to researchers as it provides an improved aggregation method to deal with some of the privacy restrictions of surveys. It is also relevant to practitioners and policy makers by quantifying the association between specific built environment variables and obesity.

    Nan Chen

    Co-Authors:泭Lauren Gardner, David Rey

    Title:泭

    Abstract:泭It is important to understand how epidemics spread to new regions via the global air traffic network in order to develop effective strategies for outbreak control. Various studies have focused on predicting epidemic spread via the complex air traffic network. However, there is a gap in the literature demanding real-time predictive models that exploit the heterogeneous nature of the air travel pattern to optimize decision making among a set of potential control strategies. A bi-level optimization model is proposed to solve the resource allocation problem for an on-going epidemic spreading via the air traffic network. The upper level objective is to optimize the distribution of limited resources for epidemic control while the lower level simulation model computes the risk posed to the network under possible scenarios. Results from a demonstration network highlight the advantages of this model. A case study is also conducted which evaluates the risk posed by Ebola to the United States via the domestic air traffic network. The results demonstrate the ability of the model to develop real-time strategies which account for the heterogeneous nature of the air traffic network and the complex dynamics of epidemic spread.

    Melissa Duell

    Co-Authors:泭Michael W Levin, Stephen D Boyles, S. Travis Waller.泭

    Title:泭On System Optimal Dynamic Lane Reversal To Improve Traffic Efficiency For Autonomous Vehicles

    Abstract:泭As a future of autonomous vehicles becomes more certain, transport network managers may seek ways to reinvent elements of the traffic network to improve efficiency. One possibility is dynamic lane reversal, in which the network operator makes use of AV communications and behavior to change the direction of flow on a road link at smaller time intervals than would be possible with human drivers. While much research is looking at the mechanical details of AVs, this work focuses on a planning application in which AVs are already present in order to motivate the need for future research. We examine a novel extension to an established system optimal dynamic traffic assignment model based on the cell transmission model. The model determines the optimal lane configuration at small space-time intervals. Results demonstrate the model on a single link and a grid network, exploring the dynamic demand scenarios which are most conducive to increasing system efficiency with dynamic lane reversal.

    Melissa Duell

    Co-Authors:泭Neeraj Saxena, Sai Chand, Nima Amini, Hanna Grzybowska, S. Travis Waller.泭

    Title:泭On System Optimal Dynamic Lane Reversal To Improve Traffic Efficiency For Autonomous Vehicles

    Abstract:泭Dynamic traffic assignment has received an increasing amount of attention in recent years, with numerous examples of practical implementations. This work adds to the existing body of literature by describing the ongoing experience of building the first large-scale simulation-based DTA model in Australia. We provide a summary of the input data for the model and then focus on an in-depth discussion and analysis of model output and the calibration process. Current results put 80% of the 322 calibration points spread across the network within an acceptable bound of error, but the project found that it was also important to consider alternative metrics of network performance so as not to neglect other aspects of model realism. In the future, the DTA model described here could aid in evaluating important policy decisions and infrastructural development in the context of the macro/meso-scale network operation. Additionally, this project serves as a proof of concept for the Australia region and may provide valuable insight to other practitioners interested in emerging areas of transport planning and traffic modeling.

    Mohammad Nurul Hassan

    Co-Authors:泭Taha Hossein Rashidi, S. Travis Waller, Neema Nassir and Mark Hickman.

    Title:泭Do Travellers Strategize When Selecting Their Transit Stop?

    Abstract:泭This research aims to study the use of behavioral travel modeling approaches in transit users' stop choice behavior. Several model structures like MNL, NL, Mixed MNL and Mixed NL are used for this purpose where stops are segmented based on travel schemes. Stop choice attributes considered in the modelling exercise include facility attributes, path attributes associated with each stop, correction factors to address the correlation between the paths and users' socio-economic factors. The data used in this research was taken from the household travel survey (HTS) of 2009 in Southeast Queensland (SEQ), Australia.
    This study shows that transit users use travel schemes like minimizing travel time and minimizing access time to choose their access stop. They even couple these schemes to access stops. It is shown in the study that path attributes along with some stop attributes affect the decision of transit users. Path attributes like walking time, number of transfers, travel time are considered jointly with stop attributes to examine their importance on decision about transit usage. The results show that the walking time needed to access the preferred stop is highly valued compared to the travel time or walking time in the path. Users seem to prefer choosing stops with more direct routes (minimum transfer) and/or more route options to reach the destination.

    Chenyang Li

    Co-Authors:泭Vinayak Dixit, Samer Hamdar

    Title:泭Estimating risk Attitude and Risk perception in Car following

    Abstract:泭Theoretical developments in decision-making research enable us to consider the car-following behaviour from a new angle. However, the application of these theories in modelling car-following behaviour has been rarely seen. This research studies different car-following situations based on the vehicle type of leader and follower. Established on the Expected Utility Theory, a new car-following model incorporating risk attitude and perception, two important concepts from behavioural economics is shown. Risk attitude and perception are then explicitly defined in the context of transport research. Constant Relative Risk Aversion (CRRA) model is adopted for the estimation of risk attitude. Risk perception is assumed to be related to the stochasticity of the spacing perceived by drivers. The risk attitude and perception are successfully estimated using the Next-Generation Simulation (NGSIM) data. We find that drivers are risk averse while following a vehicle. The values of risk attitude of most drivers are around 0.5, which is consistent with a previous study by Vinayak et al. (34). Differences of risk attitude and perception among drivers are found in the current study. The proposed model is also used for the prediction of speed in different types of car following with reasonable accuracy. The future study will focus on the macroscopic properties of the model, such as flow-density relationships, average travel times and average delay. Further, the lane-changing behaviour will be considered in this stochastic framework.泭

    Edward Robson

    Co-Authors:泭Vinayak Dixit.

    Title:泭Accounting For Transport Impacts On The Economy: An Integrated Computable General Equilibrium And Transport Model

    Abstract:泭The use of separate transport and economic models in urban planning provides a limited view of economic impacts, restricts the testing of network design options and lengthens the planning process. Furthermore, the standard methodology for economic appraisal assumes partial economic equilibrium and cannot determine the distribution of impacts from the transport sector to particular households. Computable general equilibrium (CGE) models can capture general equilibrium effects and measure welfare at the household level, but mostly lack integration with transport models and do not represent all trip generators. This paper develops an integrated traffic assignment and spatial CGE model in nonlinear complementarity form. The CGE submodel generates commuting, shopping and leisure trips as inputs into the transport submodel, which then assigns trips to the network according to user equilibrium. The resulting travel times then feed back into household prices and freight 泭margins. Households and firms fully account for travel times in decisions on where to shop, how much labor to supply and where to source production inputs. Calibration and applications of the model are demonstrated for 14 regions and 2 industries across Sydney using GAMS/PATH on the NEOS server. The welfare of various network improvements is 16 measured using equivalent variations.

    Tao Wen

    Co-Authors:泭Chen Cai, Lauren Gardner, Vinayak Dixit, S. Travis Waller, Fang Chen.泭

    Title:泭A Strategic User Equilibrium For Independently Distributed Origin-Destination Demands

    Abstract:泭泭This paper proposes an extension of the strategic user equilibrium proposed by (1) and (2). The proposed model relaxes the assumption of proportional OD demand, as it accounts for users' strategic link choice under independently distributed OD demands. The convexity of the mathematical formulation is proved when each OD demand is assumed to follow a Poisson distribution independently; link flow distributions and users' strategic link choice are also proved to be unique. Network performance measures are given analytically. A numerical analysis is conducted on the Sioux Falls network. A Monte Carlo method is depicted to simulate network performance measures, which are then compared to the results computed from the analytical expression. It is illustrated that the model is capable of accounting for demand volatility while maintaining computation simplicity.
  • Posters presented at the Civil and泭Environmental泭Student Poster Forum

    19 Feburary 2015

    Nima Amini

    Title:泭An Exploratory Assessment of the Associations between the Urban Environment and Obesity

    Abstract:泭 泭泭Obesity and other chronic diseases are becoming more prevalent, as such researchers are trying to examine and combat this trend. A number of studies have shown an association between the built environment and walking. Other studies have shown an association between the built environment and health outcomes. However, contradictory associations have been reported. Review papers have assigned the blame to the well known Modifiable Aerial Unit Problem (MAUP). In this study a large set of data on urban environment in Sydney has been collated and processed to obtain a set of objective urban variables. These variables are guided by the principle concepts of how the urban environment may affect travel behaviour. The obesity and other individual data are obtained from the Household, Income and Labour Dynamics in Australia (HILDA) survey. The MAUP has been addressed through an innovative aggregation method, and have been shown to relate to the probability of being obese using a logit model. The self-selection issue has been addressed by removing the entries that selected their place of residence based on proximity to destinations.

    David Arbis

    Title:泭Modelling Strategic Interactions of Driver Manoeuvres

    Abstract:泭泭Game theory is the study of mathematical models of interaction. In this thesis, it is used to model the interaction of drivers on the road. The study contributes to safety design by better understanding behavioural norms of interaction.

    Through a game-theoretic approach drivers are assumed to make the best action for themselves, taking into account the observed or predicted action of the competing individual. In this way drivers act according to the interdependence between their own actions and the actions of their competitor. Game theory thusly differentiates from traditional safety modelling approaches that consider drivers acting to one-directional influence. The approach is more holistic and results in a more precise analysis.

    Further, as game-theoretic models investigate fundamental interaction behaviour, the study findings are generalizable beyond the traffic contexts studied.

    Resources for this project include non-exhaustively the Australian School of Business Experimental Economics Laboratory (Quad1041) and the TRACSLab Driving Simulator (Building H20, LG8).

    Melissa Duell

    Title:泭The impact of uncertainty on strategic network design projects

    Abstract:泭 泭 This work addresses the泭traffic泭network design problem (NDP), where the planner seeks the optimal locations in a network to which add vehicle capacity in order to minimize an objective, while staying within a budget. While traditionally deterministic, this work expands the NDP to include day-to-day泭uncertainties泭in travel demand and link capacity. Specifically, this project proposes a network design formulation that uses a strategic behaviour approach, in which total demand and link capacity are treated as random variables and a strategic user equilibrium results in fixed equilibrium link proportions. 泭The bi-level model is泭formulated, system performance metrics derived, and then a solution method is developed based on a tailored genetic algorithm. Results under varying levels of volatility reflect possible suboptimal project selection when using a deterministic modelling approach.泭

    Sisi Jian

    Title:泭Hazard Based Modelling of Vehicle Selection in Carsharing Systems.

    Tao Wen

    Title:泭A maximum likelihood estimation of trip tables for the strategic user equilibrium (StrUE) Model

    Kasun Wijayaratna

    Title:泭Dynamic User Optimal traffic Assignment with Recourse
    泭

    Posters presented at泭Transportation Research Board

    Walter E. Washington Convention Center.泭Washington DC, USA
    11-15 January 2015泭

    Melissa Duell

    Title:泭The implications of volatility in day-to-day travel flow and road capacity on traffic network design projects'

    Abstract:泭This work addresses the traffic network design problem when day-to-day uncertainties in travel demand and link capacity are taken into account. Specifically, this work proposes a network design formulation that uses a strategic behavior approach, where total demand and link capacity are treated as random variables and a strategic user equilibrium results in fixed equilibrium link proportions. The bilevel model is formulated, system performance metrics derived, and then a solution method is developed based on a tailored genetic algorithm. Results under varying levels of volatility reflect possible suboptimal project selection when using a deterministic modeling approach.

    Milad Ghasrikhouzani

    Title:泭A Novel System of Disaggregate Models for Travel Demand Modelling, Using Decision Tree and Random Forest Concepts

    Abstract:泭This research attempts to address the gap between research and practical transport demand models. Evolution of travel demand models started from the early paper and pencil versions of conventional four-step models of the late 50s and proceeded to the activity-based models. During this transition the emphasis shifted from aggregate to disaggregate models, whereby researchers increasingly paid attention to individual decision making regarding daily activities. This alteration engendered a conspicuous disparity between aggregate and disaggregate models regarding their practicality, precision and policy sensitivity level. This disparity is the main attention of this paper. Unlike the four-step models, a highly disaggregate travel demand modelling structure is proposed in this paper in which trip purpose, mode of transport, time of day, commute distance and attributes of trip destination are modelled. Unlike activity-based models, the proposed method is computational efficient and cost effective making it attractive for small or medium size cities. Destination choice problem is decomposed from the framework by using the attributes of the destination rather than its actual location. All the decisions are modelled using Decision Tree (DT), a Modified version of Decision Tree (MDT), and Random Forest (RF). The model estimation practice is done using the Victorian Integrated Survey of Travel and Activity (VISTA) of 2007 as the training set, and its transferability is examined by utilizing the 2009 year of the same dataset. As the results show RF and DT system of models have a high disaggregate accuracy, whereas MDT and RF system of models predict the aggregate trip patterns in the test dataset more similar to the observations.

    Milad Ghasrikhouzani

    Title:泭A Residential Relocation Timing and Tenure Choice Modelling Structure: Competing Hazard Based or Cause-Specific Formulation?

    Abstract:泭Land use is largely affected by peoples decisions on job and residential relocation as well as decisions by home developers and job providers. In regards to residential relocation decision-making, four fundamental components can be identified: 1) reason(s) of relocation, 2) relocation timing, 3) choosing the next living place, and 4) tenure choice. This paper focuses on the time of relocation and the tenure choice, using the hazard-based structure. A hazard-based model coupled with a logit model is compared against a competing hazard-based model. These two formulations represent two approaches that individuals may consider when evaluating their alternatives. A longitudinal data collected in Australia from the Household, Income, and Labour Dynamics Australia Survey (HILDA) is utilized in this study for developing the models. Several socio-demographic, economic and land use variables are employed to model the behaviour of decision-making unit which mainly consists of a household. It was found that the competing hazard model marginally outperforms the cause-specific structure.

    Hanna Grzybowska

    Title:泭A Decision Support System For A Real-Time Field Service Engineer Scheduling Problem With Emergencies And Collaborations

    Abstract:泭We treat a dynamic routing and scheduling problem by repeatedly re-planning using a heuristic for solving a variety of the Vehicle Routing Problem. The problem we treat occurs in the situation when Field Service Engineers are assigned a sequence of jobs to attend. The jobs are geographically distributed and not all jobs to be undertaken are known in advance of planning. This dynamic occurrence of job requests is stochastic. Jobs are assigned an Emergency Level, which is the highest for the repair jobs involving a person in danger. In addition some jobs require two engineers to attend. We refer to such jobs as collaborative. Our approach re-schedules the pending jobs in an event-driven manner. The event-driven scheduling process ensures that jobs of high importance, with a high emergency level, are completed promptly. The proposed Decision Support System assists in the decision making concerning the management of Field Service Engineers, in the case when real-time information is available. Its architecture includes two main modules: Simulation Engine and Indigo Solver, using a flexible heuristic based on an Adaptive Large Neighborhood Search. We find that our approach of event-driven re-planning is able to plan for real-world scenarios using significantly fewer resources than are employed in practice.

    Sisi Jian

    Title:泭Hazard Based Modelling of Vehicle Selection in Carsharing Systems.

    Abstract:泭Carsharing, as an alternative to private vehicle ownership, has spread worldwide in recent years due to its potential of reducing congestion, improving auto utilization rate and limiting the environmental impact of emissions release. To determine the most efficient allocation of resources within a carsharing programme, it is critical to understand what factors affect the users behaviour when selecting vehicles which have been little attended to in the literature. This study attempts to investigate the importance of users attributes and fleet characteristics on choice set formation behaviour in selecting vehicles using a Spatial Hazard Based Model (SHBM). In the SHBM model, distance to the carsharing facility (vehicle pod) is considered as the prospective decision criteria that carsharing users follow when selecting a vehicle among a set of alternatives This variable is analogous to the duration in a conventional hazard-based model Other factors, such as user socio-demographic attributes, vehicle characteristics, land use type of the trip origin, etc., collected from the Australian carsharing company GoGet are utilized for model estimation. A number of forms of parametric SHBMs are tested to determine the best fit to the data. The accelerated failure time model with a Log-logistic distribution was found to provide the best fit. The estimation results of the coefficients of the parameters suggest that users who do not own a private vehicle, frequent users, elderly users and users with a restriction in the ability to drive tend to consider closer vehicle pods. These findings can provide a starting point for carsharing organisations to optimize their pod locations and types of cars available at different pods to maximize usage.泭

    Emily Molyan

    Title:泭Reliability- and Median-Based Identification of Toll Locations in Connected Vehicle Context

    Abstract:泭In anticipation of pervasive onboard navigation and electronic payment associated with connected vehicle technology, universal dynamic tolling is a promising possibility for future congestion management. In order to take advantage of these advancements, planners must consider which metrics should be used for the selection and performance evaluation of tolls.

    This work considers two metrics: median travel time and reliability measured with the 80th percentile travel time index. Each metric is tested for the identification of candidate tolling facilities and for the evaluation of the toll's performance. Using data mining techniques on measured volumes and speeds from California freeways, test tolls are simulated based on the two identification metrics

    We find that both metrics contribute to the assessment of the toll's success, but travel time reliability is a stronger metric for determining the most effective locations for imposing tolls.

    Tao Wen

    Title:泭A maximum likelihood estimation of trip tables for the strategic user equilibrium (StrUE) Model

    Abstract:泭This paper proposes a novel framework to estimate trip tables for the strategic user equilibrium traffic assignment model. The proposed framework uses a bi-level estimation model, where the upper-level is a new maximum likelihood estimation method and the lower-level is the strategic user equilibrium assignment model which accounts for some aspects of day-to-day volatility in traffic flow. The maximum likelihood method proposed in this paper illustrates its ability to utilize information from day-to-day observed link flows in order to provide a unique estimation of the total trip demand distribution. This is accomplished by passing the total trip demand distribution to the strategic user equilibrium model to produce a set of link flow distributions which can then be compared to the link level observations. The mathematical proof demonstrates the convexity of the model. In addition, a numerical analysis is conducted on a test network to illustrate the efficiency of the proposed framework.

    Kasun Wijayaratna

    Title:泭Dynamic User Optimal traffic Assignment with Recourse

    Abstract:泭Limitations of static network equilibrium models have led to numerous research efforts in predicting the temporal and spatial traffic conditions throughout road networks.泭泭 Static models do not account for the dynamic nature of traffic.泭 Accordingly, new approaches to depict these scenarios have been formulated, such as Dynamic User Optimal (DUO).泭 This study extends DUO to DUO with recourse (DUOR) where a user can also alter their journey en-route dependent on the traffic conditions and the available information through ITS technology.
    This study proposes the modelling framework Dynamic User Optimal with Recourse using a Cell Transmission Model (DUOR-CTM).泭 The model focuses on initially understanding whether a Dynamic User Optimal with Recourse (DUOR) solution arises and also determines the impact of information on the user optimal travel cost.泭 The study presents the results of a sample network and highlights the need to account for information in a dynamic context.泭

    泭