1. Discrete choice modeling
2. Large-scale equilibrium modeling
3. Mobility demand management
4. AI for transportation
JOURNAL PUBLICATIONS
Rui Yao, Kenan Zhang, Anna Scaglione, Shlomo Bekhor, 2025. Integrated equilibrium model for electrified logistics and power systems. Accepted to 64th IEEE Conference on Decision and Control.
Siqi Feng, Rui Yao, Stephane Hess, Ricardo Daziano, Timothy Brathwaite, Joan Walker, Shenhao Wang, 2024. Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization. Transportation Research Part C: Emerging Technologies, 166, 104767. Link
Rui Yao, Kenan Zhang, 2024. Design an intermediary mobility-as-a-service (MaaS) platform using many-to-many stable matching framework. Transportation Research Part B: Methodological, 102991. Link (Special Issue for the 25th International Symposium on Transportation and Traffic Theory, ISTTT).
Rui Yao, Mogens Fosgerau, Mads Paulsen, Thomas Rasmussen, 2024. Perturbed utility stochastic traffic assignment. Transportation Science. Link
Rui Yao, Shlomo Bekhor, 2023. A general equilibrium model for multi-passenger ridesharing systems with stable matching. Transportation Research Part B: Methodological, 175, 102775. Link
Rui Yao, Shlomo Bekhor, 2022. A ridesharing simulation model that considers dynamic supply-demand interactions. Journal of Intelligent Transportation Systems, 1-23. Link
Rui Yao, Shlomo Bekhor, 2022. A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling. Transportation Research Part B: Methodological, 158, 273-294. Link
Rui Yao, Shlomo Bekhor, 2021. A Dynamic Tree Algorithm for On-demand Ride-sharing Matching. Networks and Spatial Economics, 21, 801–837. Link
Rui Yao, Shlomo Bekhor, 2020. Data-driven choice set generation and estimation of route choice modeling. Transportation Research Part C: Emerging Technologies, 121, 102832. Link
