Information provision and congestion pricing in a risky two-route network with heterogeneous travelers Y Liu, Z Yang Transportation Research Part C: Emerging Technologies 128, 103083, 2021 | 24 | 2021 |
Dynamic evacuation optimization model based on conflict-eliminating cell transmission and split delivery vehicle routing M Zeng, M Wang, Y Chen, Z Yang Safety science 137, 105166, 2021 | 19 | 2021 |
Optimal routing policy for a mixed traffic flow of connected vehicles and regular vehicles with en-route information Z Yang, Y Liu Available at SSRN 3885540, 2022 | 9 | 2022 |
Deep reinforcement learning for dynamic incident-responsive traffic information dissemination J Xie, Z Yang, X Lai, Y Liu, XB Yang, TH Teng, CK Tham Transportation research part E: logistics and transportation review 166, 102871, 2022 | 8 | 2022 |
Robust vehicle detection and identification with single magnetic sensor C Zhang, H Dong, L Jia, Y Qin, Z Yang 2017 2nd IEEE International Conference on Intelligent Transportation …, 2017 | 7 | 2017 |
Understanding Spatial and Temporal Patterns of Urban Travel Demands with Call Detail Record Data H Dong, K Liu, Y Zhenyu, Z Li, L Jia, Y Qin, Y Wang Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 1 | 2017 |
A Evolution Model of the Express Freight Network ZY Yang, ZY Ge Applied Mechanics and Materials 438, 1907-1911, 2013 | 1 | 2013 |
Tailored priority allocation in the bottleneck model with general user heterogeneity Z Yang, A de Palma, N Geroliminis Transportation Research Part B: Methodological 190, 103093, 2024 | | 2024 |
Reinforcement Learning in Transportation Research: Frontiers and Future Directions X Lai, Z Yang, J Xie, Y Liu Multimodal Transportation, 100164, 2024 | | 2024 |
CONGESTION MANAGEMENT AND INFORMATION PROVISION IN RISKY AND CONNECTED TRANSPORTATION NETWORKS Y ZHENYU | | 2021 |
Deep Reinforcement Learning for Dynamic Incident-Responsive Traffic J Xie, Z Yang, X Lai, Y Liu, XB Yang, TH Teng, CK Tham | | |