Research
Network science, intelligent mobility, and infrastructure decisions.
I believe research should be grounded in real-world transportation problems.
Research Areas
01
Advancement of Multimodal Transportation Systems
Dynamic demand, mode choice, and scalable inference for multimodal networks.
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02
Intelligent Traffic Information Provision for System-Level Goals
Strategic information, CAV routing, and learning-based congestion mitigation.
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03
Optimization of Urban Infrastructure
Curbside allocation and infrastructure decisions for freight, service, and passenger vehicles.
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04
Management of Long-Term Traffic Evolution
Traffic evolution, EV penetration, tolling policy, and long-term network dynamics.
Read moreJournal Publications
- Ma, X., Nardone D., Morchio M., Finan J., Sannino P., Pozza J., Neykov L., and Qian, S., 2026. Sensitivity analysis of computational graph-based dynamic multi-modal O–D estimation under data and behavioral uncertainties. Artificial Intelligence for Transportation, 7, p.100063.
- Ma, X. and He, X., 2025. Multi-class within-day dynamic traffic equilibrium with simultaneous path-and-departure-time choices and strategic travel time information. Transportation Research Part C: Emerging Technologies, 178, p.105269.
- Ma, X., He, X. and Holguin-Veras, J., 2025. Optimal on-street parking space allocation for freight, service, and passenger vehicles. Transportmetrica A: Transport Science, pp.1-31.
- Ma, X. and He, X., 2024. Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach. Transportation Research Part B: Methodological, 189, p.103014. (ISTTT25 Conference paper)
- Ma, X. and He, X., 2021. Period-to-period toll adjustment schemes for mixed traffic with time-varying electric vehicle penetration. Transportation Research Part C: Emerging Technologies, 129, p.103237.
- Ma, X., Xu, W. and Chen, C., 2021. A day-to-day dynamic evolution model and pricing scheme with bi-objective user equilibrium. Transportmetrica B: Transport Dynamics, 9(1), pp.283-302.
- Xu, W., Ma, X., and Xu, H., 2020. A day-to-day dynamic model of traffic flows with bi-objective user equilibrium. Journal of Management Science and Engineering, 23(7), pp.116-126.
Conference Presentations
- Joint estimation of dynamic O-D demand and choice models for dynamic multi-modal networks: computational graphs with hypothesis tests. BIRS workshop: Emerging Challenges in Statistical Modeling for Transportation Research, Banff, Canada, 2026.
- Joint estimation of dynamic O-D demand and choice models for dynamic multi-modal networks. Transportation Research Board Annual Meeting, Washington DC, 2026.
- Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach. The 25th International Symposium on Transportation and Traffic Theory (ISTTT 25), Ann Arbor, MI, 2024.
- Correlated CAV en-route routing for congestion mitigation: a two-way deep reinforcement learning framework. Transportation Research Board Annual Meeting, Washington DC, 2024.
- Optimizing on-street parking allocation for multiple users considering double parking impacts. Transportation Research Board Annual Meeting, Washington DC, 2024.
- Enhancing bus arrival time prediction with a machine-learning-based Markov process approach. INFORMS Annual Meeting, Phoenix, AZ, 2023.
- Optimal multi-user on-street parking allocation for large cities. New York State Association of MPOs Conference, Syracuse, NY, 2023.
- Optimal on-street parking space allocation for passenger and commercial vehicles. INFORMS Annual Meeting, Indianapolis, IN, 2022.
- Within-day dynamic traffic equilibrium with heterogeneous information considering strategic forecasting of travel time. Bridging Transport Researchers (4th BTR), online, 2022.
- Within-day dynamic traffic assignment for multi-class travelers with instantaneous and forecast information. Transportation Research Board Annual Meeting, Washington DC, 2022.
- Who are the beneficiaries of predictive travel information? Modeling dynamic stochastic user equilibrium with diverse pre-trip information. INFORMS Annual Meeting, Anaheim (hybrid), CA, 2021.
- Period-to-period tolling scheme for mixed traffic of electric and gasoline vehicles with time-varying flow composition. Transportation Research Board Annual Meeting, virtual, 2021.
- Period-to-period tolling scheme for mixed traffic of electric and gasoline vehicles with time-varying flow composition. INFORMS Annual Meeting, virtual, 2020.
- Multi-class traffic evolution model for electric and gasoline vehicles with bi-objective path choice behavior. Transportation Research Board Annual Meeting, Washington DC, 2020.
- A day-to-day dynamic model of traffic flows with bi-objective user equilibrium. The 7th international research conference on systems engineering and management science, Nanjing, 2019.