Select Publications
Preprints
2022, A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications, http://dx.doi.org/10.48550/arxiv.2210.14524
,2022, Analyzing and modeling network travel patterns during the Ukraine invasion using crowd-sourced pervasive traffic data, http://dx.doi.org/10.48550/arxiv.2208.04297
,2022, Unsupervised Knowledge Adaptation for Passenger Demand Forecasting, http://dx.doi.org/10.48550/arxiv.2206.04053
,2021, Single-leader multi-follower games for the regulation of two-sided Mobility-as-a-Service markets, http://dx.doi.org/10.48550/arxiv.2106.02151
,2020, A chance-constrained dial-a-ride problem with utility-maximizing demand and multiple pricing structures, http://dx.doi.org/10.48550/arxiv.2011.08993
,2020, Joint routing and pricing control in congested mixed autonomy networks, http://dx.doi.org/10.48550/arxiv.2009.10907
,2020, Incentive-compatible mechanisms for online resource allocation in mobility-as-a-service systems, http://dx.doi.org/10.48550/arxiv.2009.06806
,2020, Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network, http://dx.doi.org/10.48550/arxiv.2009.05777
,2019, Freeway network design with exclusive lanes for automated vehicles under endogenous mobility demand, http://dx.doi.org/10.48550/arxiv.1912.07746
,2019, Integrating Travel Demand and Network Modelling: a Myth or Future of Transport Modelling, http://dx.doi.org/10.48550/arxiv.1907.09651
,2019, A simple contagion process describes spreading of traffic jams in urban networks, http://dx.doi.org/10.48550/arxiv.1906.00585
,2019, Surrogate-based toll optimization in a large-scale heterogeneously congested network, http://dx.doi.org/10.48550/arxiv.1904.11733
,Capacity Allocation and Tolling-Rewarding Schemes for the Morning Commute with Carpooling, http://dx.doi.org/10.2139/ssrn.4091248
,Modeling and Evaluating the Impact of Electricity Price on Commute Network Flows of Battery Electric Vehicles, http://dx.doi.org/10.2139/ssrn.4031246
,On the Primal and Dual Formulations of Stochastic Traffic Assignment with Elastic Demand, http://dx.doi.org/10.2139/ssrn.4039736
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