ORCID as entered in ROS
![orcid_icon](/themes/resgate8/images/icons/ORCIDiD_icon24x24.png)
Select Publications
2021, 'A review on flood management technologies related to image processing and machine learning', Automation in Construction, 132, http://dx.doi.org/10.1016/j.autcon.2021.103916
,2021, 'Freeway network design with exclusive lanes for automated vehicles under endogenous mobility demand', Transportation Research Part C: Emerging Technologies, 133, http://dx.doi.org/10.1016/j.trc.2021.103440
,2021, 'A multi-task memory network with knowledge adaptation for multimodal demand forecasting', Transportation Research Part C: Emerging Technologies, 131, pp. 103352, http://dx.doi.org/10.1016/j.trc.2021.103352
,2021, 'Joint routing and pricing control in congested mixed autonomy networks', Transportation Research Part C: Emerging Technologies, 131, http://dx.doi.org/10.1016/j.trc.2021.103338
,2021, 'Rapidex: A novel tool to estimate origin–destination trips using pervasive traffic data', Sustainability (Switzerland), 13, http://dx.doi.org/10.3390/su132011171
,2021, 'Image-based crack detection methods: A review', Infrastructures, 6, http://dx.doi.org/10.3390/infrastructures6080115
,2021, 'An integrated transport and economic equilibrium model for autonomous transportation systems considering parking behavior', Computer-Aided Civil and Infrastructure Engineering, 36, pp. 902 - 921, http://dx.doi.org/10.1111/mice.12611
,2021, 'Urban mobility analytics: A deep spatial-temporal product neural network for traveler attributes inference', TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 124, http://dx.doi.org/10.1016/j.tre.2020.102921
,2021, 'Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference', Transportation Research Part C: Emerging Technologies, 124, pp. 102921, http://dx.doi.org/10.1016/j.trc.2020.102921
,2021, 'An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review', Sustainability (Switzerland), 13, pp. 7925, http://dx.doi.org/10.3390/su13147925
,2021, 'Comparing Dynamic User Equilibrium and Noniterative Stochastic Route Choice in a Simulation-Based Dynamic Traffic Assignment Model: Practical Considerations for Large-Scale Networks', Journal of Advanced Transportation, 2021, http://dx.doi.org/10.1155/2021/6667335
,2021, 'Sensitivity analysis on a dynamic coupling model for V2V communication distance control', Procedia Computer Science, 184, pp. 372 - 379, http://dx.doi.org/10.1016/j.procs.2021.03.047
,2020, 'Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models', Transportation Research Part C: Emerging Technologies, 121, http://dx.doi.org/10.1016/j.trc.2020.102853
,2020, 'Analysis of vehicle breakdown frequency: A case study of new south wales, Australia', Sustainability (Switzerland), 12, http://dx.doi.org/10.3390/su12198244
,2020, 'Arrival Time Reliability in Strategic User Equilibrium', Networks and Spatial Economics, 20, pp. 803 - 831, http://dx.doi.org/10.1007/s11067-020-09498-2
,2020, 'Reduced value of time for autonomous vehicle users: Myth or reality?', Transport Policy, 95, pp. 30 - 36, http://dx.doi.org/10.1016/j.tranpol.2020.06.003
,2020, 'Frequentist and bayesian approaches for understanding route choice of drivers under stop-and-go traffic', Transportation Research Record, 2674, pp. 371 - 382, http://dx.doi.org/10.1177/0361198120929332
,2020, 'Integrating Household Travel Survey and Social Media Data to Improve the Quality of OD Matrix: A Comparative Case Study', IEEE Transactions on Intelligent Transportation Systems, 21, pp. 2628 - 2636, http://dx.doi.org/10.1109/TITS.2019.2958673
,2020, 'A simulation-optimisation genetic algorithm approach to product allocation in vending machine systems', Expert Systems with Applications, 145, http://dx.doi.org/10.1016/j.eswa.2019.113110
,2020, 'A simple contagion process describes spreading of traffic jams in urban networks', Nature Communications, 11, pp. 1616, http://dx.doi.org/10.1038/s41467-020-15353-2
,2020, 'An ensemble machine learning-based modeling framework for analysis of traffic crash frequency', Computer-Aided Civil and Infrastructure Engineering, 35, pp. 258 - 276, http://dx.doi.org/10.1111/mice.12485
,2020, 'Dial-a-Ride Problem with Users’ Accept/Reject Decisions Based on Service Utilities', Transportation Research Record, 2674, pp. 55 - 67, http://dx.doi.org/10.1177/0361198120940307
,2020, 'The short-run and long-run equilibria for commuting with autonomous vehicles', Transportmetrica B, 10, pp. 1 - 28, http://dx.doi.org/10.1080/21680566.2020.1779146
,2020, 'Graph Neural Network for Robust Public Transit Demand Prediction', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 1 - 13, http://dx.doi.org/10.1109/tits.2020.3041234
,2020, 'Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach', Transportation Research Part C: Emerging Technologies, 117, pp. 102670 - 102670, http://dx.doi.org/10.1016/j.trc.2020.102670
,2020, 'On integrating carsharing and parking sharing services', Transportation Research Part B: Methodological, 142, pp. 19 - 44, http://dx.doi.org/10.1016/j.trb.2020.09.013
,2019, 'The impact of global on-line information provision on transport networks and how random early detection can help', Transportmetrica B, 7, pp. 1356 - 1377, http://dx.doi.org/10.1080/21680566.2019.1617802
,2019, 'Implications of link-based equity objectives on transportation network design problem', Transportation, 46, pp. 1559 - 1589, http://dx.doi.org/10.1007/s11116-018-9888-1
,2019, 'Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment', Transportation Research Part B: Methodological, 128, pp. 380 - 407, http://dx.doi.org/10.1016/j.trb.2019.08.010
,2019, 'Special issue on dynamic traffic assignment for general transport networks', Transportation Research Part B: Methodological, 126, pp. 307 - 308, http://dx.doi.org/10.1016/j.trb.2019.06.002
,2019, 'Surrogate-based toll optimization in a large-scale heterogeneously congested network', Computer-Aided Civil and Infrastructure Engineering, 34, pp. 638 - 653, http://dx.doi.org/10.1111/mice.12444
,2019, 'Integrating uncertainty considerations into multi-objective transportation network design projects accounting for environment disruption', Transportation Letters, 11, pp. 351 - 361, http://dx.doi.org/10.1080/19427867.2017.1359940
,2019, 'A network traffic assignment model for autonomous vehicles with parking choices', Computer-Aided Civil and Infrastructure Engineering, 34, pp. 1100 - 1118, http://dx.doi.org/10.1111/mice.12486
,2019, 'Range-Constrained Traffic Assignment with Multi-Modal Recharge for Electric Vehicles', Networks and Spatial Economics, 19, pp. 633 - 668, http://dx.doi.org/10.1007/s11067-019-09454-9
,2019, 'A safety assessment of mixed fleets with Connected and Autonomous Vehicles using the Surrogate Safety Assessment Module', Accident Analysis and Prevention
,2019, 'A branch-and-price algorithm for the bilevel network maintenance scheduling problem', Transportation Science, 53, pp. 1455 - 1478, http://dx.doi.org/10.1287/trsc.2019.0896
,2018, 'Link Transmission Model-Based Linear Programming Formulation for Network Design', Transportation Research Record, 2672, pp. 139 - 147, http://dx.doi.org/10.1177/0361198118774753
,2018, 'Modelling the Route Choice Behaviour under Stop-&-go Traffic for Different Car Driver Segments', Transportation Research Part A: Policy and Practice, 119, pp. 62 - 72, http://dx.doi.org/10.1016/j.tra.2018.11.004
,2018, 'Multitype Recharge Facility Location for Electric Vehicles', Computer-Aided Civil and Infrastructure Engineering, 33, pp. 943 - 965, http://dx.doi.org/10.1111/mice.12379
,2018, 'Mixed-Vehicular Aggregated Transportation Network Design Considering En-route Recharge Service Provision for Electric Vehicles', Journal of Systems Science and Complexity, 31, pp. 1329 - 1349, http://dx.doi.org/10.1007/s11424-018-7165-1
,2018, 'Strategic Dynamic Traffic Assignment Incorporating Travel Demand Uncertainty', Transportmetrica B: Transport Dynamics, 7, pp. 950 - 966, http://dx.doi.org/10.1080/21680566.2018.1519468
,2018, 'Effect of Number of Stop-&-gos Experienced on the Route Choice Behaviour of Car Drivers', Transportmetrica A: Transport Science, 15, pp. 435 - 454, http://dx.doi.org/10.1080/23249935.2018.1497103
,2018, 'Link performance functions for high occupancy vehicle lanes of freeways', Transport, 33, pp. 657 - 668, http://dx.doi.org/10.3846/transport.2018.1575
,2018, 'How Should Travel Demand and Supply Models Be Jointly Calibrated?', Transportation Research Record, 2672, pp. 114 - 124, http://dx.doi.org/10.1177/0361198118772954
,2018, 'Policy implications of incorporating distance constrained electric vehicles into the traffic network design problem', Transportation Letters, 10, pp. 144 - 158, http://dx.doi.org/10.1080/19427867.2016.1239306
,2018, 'Framework for estimating the impact of camera-based intelligent transportation systems (ITS) technology on incident duration', Transportation Research Record, 2672, pp. 25 - 33, http://dx.doi.org/10.1177/0361198118775870
,2018, 'A Strategic User Equilibrium for Independently Distributed Origin-Destination Demands', Computer-Aided Civil and Infrastructure Engineering, 33, pp. 316 - 332, http://dx.doi.org/10.1111/mice.12292
,2018, 'Enhancing the safety of construction crew by accounting for brain resource requirements of activities in job assignment', Automation in Construction, 88, pp. 31 - 43, http://dx.doi.org/10.1016/j.autcon.2017.12.013
,2018, 'Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network', Computer-Aided Civil and Infrastructure Engineering, 33, pp. 282 - 299, http://dx.doi.org/10.1111/mice.12278
,2018, 'Estimation of sparse O-D matrix accounting for demand volatility', IET Intelligent Transport Systems, 12, pp. 1020 - 1026, http://dx.doi.org/10.1049/iet-its.2018.0069
,