| A Markov decision process approach to vacant taxi routing with e-hailing X Yu, S Gao, X Hu, H Park Transportation Research Part B: Methodological 121, 114-134, 2019 | 113 | 2019 |
| Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach Y Cheng, X Hu, K Chen, X Yu, Y Luo Journal of Intelligent Transportation Systems 27 (3), 396-410, 2023 | 22 | 2023 |
| Learning routing policies in a disrupted, congestible network with real-time information: An experimental approach X Yu, S Gao Transportation Research Part C: Emerging Technologies 109, 205-219, 2019 | 16 | 2019 |
| Routing Policy Choice Prediction in a Stochastic Network: Recursive Model and Solution Algorithm M Tien, Y Xinlian, G Song, E Frejinger Transportation Research Part B: Methodological 151, 42-58, 2021 | 11 | 2021 |
| A batch reinforcement learning approach to vacant taxi routing X Yu, S Gao Transportation Research Part C: Emerging Technologies 139, 103640, 2022 | 5 | 2022 |
| Optimizing vacant taxis’ routing decisions: model-based and model-free approaches X Yu, S Gao, X Hu Proceedings of the Transportation Research Board Annual Conference, 2019 | 5 | 2019 |
| Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation C Dong, L Xing, H Wang, X Yu, Y Liu, D Ni Accident Analysis & Prevention 183, 106970, 2023 | 4 | 2023 |
| Real-time Holding Control for Transfer Synchronization via Robust Multi-agent Reinforcement Learning X Yu, A Khani, J Chen, H Xu, H Mao IEEE Transactions on Intelligent Transportation Systems, 2022 | 4 | 2022 |
| Heuristic feeder‐bus operation strategy considering weather information: a chance‐constrained model Y Liu, H Xu, X Yu, J Zhou International Transactions in Operational Research 31 (4), 2446-2471, 2024 | 3 | 2024 |
| Multi-cycle optimal taxi routing with e-hailing X Yu, S Gao, X Hu, H Park Proceedings of the Transportation Research Board 97th Annual Meeting, 2018 | 3 | 2018 |
| Coordinating matching, rebalancing and charging of electric ride-hailing fleet under hybrid requests X Yu, Z Zhu, H Mao, M Hua, D Li, J Chen, H Xu Transportation Research Part D: Transport and Environment 123, 2023 | 2 | 2023 |
| Morning peak-period pricing surcharge of elderly passengers taking express buses J Chen, C He, X Yu, W Chen Journal of Advanced Transportation 2021, 1-17, 2021 | 2 | 2021 |
| Route Choice in Highly Disrupted Network: Learning, Inertia, and Real-time Information X Yu, S Gao Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 2 | 2017 |
| Day-to-day travel choice dynamics with guidance information in degradable transport network H Xu, X Yu, J Zhou Journal of Management Sciences in China 7, 004, 2015 | 2 | 2015 |
| An integrated optimisation framework for locating depots in shared autonomous vehicle systems X Yu, J Chen, P Kumar, A Khani, H Mao Transportmetrica A: Transport Science 20 (2), 2152299, 2024 | 1 | 2024 |
| Optimization of bus rerouting to alleviate the impact of rail transit construction Y Wang, J Chen, X Yu, Q An, X Wu Journal of Advanced Transportation 2022, 2022 | 1 | 2022 |
| Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models X Yu, T Mai, J Ding-Mastera, S Gao, E Frejinger arXiv preprint arXiv:2005.05783, 2020 | 1 | 2020 |
| Analyzing the threshold effect of environmental regulation and logistics industry agglomeration on road green logistics efficiency: A case study in China H Yao, X Yu, H Mao, S Zhang, D Wang, L Yang | | 2023 |
| A data-driven inspection method for identifying container bookings with concealed hazardous materials X Shen, J Chen, S Zhu, X Yu Engineering Optimization, 1-21, 2023 | | 2023 |
| Modeling and Optimizing Routing Decisions for Travelers and On-demand Service Providers X Yu | | 2019 |
Song GaoProfessor, University of Massachusetts AmherstVerified email at umass.edu
