public transit and mobility as a service modeling and simulations; travel behavior analysis with transit data
demand prediction, behavioral dynamics and pricing strategies and mechanism design
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theoretical modeling, design and optimization of pricing strategies to manage crowding, queuing, emission, and market demand
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integrated infrastructure analysis, digital twin, stochastic modeling, system resilience and sensitive analysis
machine learning/deep learning algorithms in the multi-agent systems for robotic and autonomous system development
Electric vehicle adaptations, predictions of transport energy demand and emission, multi-objective transportation service optimization, systematic and economic analysis
Integrated Dynamic Transit Operation (IDTO) System Using Connected Vehicle Technologies, Oct 2019 – Sep 2020
Differentiable pricing and mixed equilibrium analysis with Electric Vehicles and Gasoline Vehicles, Mar 2019 – May 2021
Users' values of time and departure time choices, Feb 2019 – Sep 2020
Commuter’s Queuing Behavior and Willingness to Pay in Ride-sourcing Market, Jun 2018 – Present
Integrating Dynamic Traffic Assignment (DTA) and Traveler Behavior Model to Simulate the Implementation of the Fare-reward Schemes in Beijing Metro System, Nov 2017 – Nov 2019
A Revenue-preserving and Pareto-improving Strategy for Transit Demand Management, Oct 2015 – Sep 2019
Auto ID Solutions for Improving Track Safety in Transportation Sector, Jun 2013 – Sep 2013
Last update: March 31, 2024