フォロー
mei yu
タイトル
引用先
引用先
Optimal design of intersecting bimodal transit networks in a grid city
W Fan, Y Mei, W Gu
Transportation Research Part B: Methodological 111, 203-226, 2018
612018
A Bayesian approach for estimating vehicle queue lengths at signalized intersections using probe vehicle data
Y Mei, W Gu, ECS Chung, F Li, K Tang
Transportation Research Part C: Emerging Technologies 109, 233-249, 2019
402019
Planning skip-stop transit service under heterogeneous demands
Y Mei, W Gu, M Cassidy, W Fan
Transportation Research Part B: Methodological 150, 503-523, 2021
192021
An integrated intersection design for promoting bus and car traffic
W Gu, Y Mei, H Chen, Y Xuan, X Luo
Transportation Research Part C: Emerging Technologies 128, 103211, 2021
112021
Real-time identification of probe vehicle trajectories in the mixed traffic corridor
Y Mei, K Tang, K Li
Transportation Research Part C: Emerging Technologies 57, 55-67, 2015
102015
Turn-level network traffic bottleneck identification using vehicle trajectory data
L Wei, P Chen, Y Mei, Y Wang
Transportation Research Part C: Emerging Technologies 140, 103707, 2022
92022
A two-stage heuristic approach for fleet management optimization under time-varying demand
L Zhang, W Gu, L Fu, Y Mei, Y Hu
Transportation Research Part E: Logistics and Transportation Review 147, 102268, 2021
62021
Joint design of trunk-feeder transit with many-to-many demand
W Fan, Y Mei
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
62018
Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections
Q Sun, L Zhang, H Yu, W Zhang, Y Mei, H Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
52023
Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation
J Ming, L Zhang, W Fan, W Zhang, Y Mei, W Ling, H Xiong
2022 IEEE International Conference on Data Mining (ICDM), 348-357, 2022
42022
Optimal design of skip-stop transit service in a corridor under heterogeneous demand
Y Mei
Hong Kong Polytechnic University, 2019
22019
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning
J Li, S Lin, T Shi, C Tian, Y Mei, J Song, X Zhan, R Li
arXiv preprint arXiv:2311.15920, 2023
2023
A hierarchical control framework for alleviating network traffic bottleneck congestion using vehicle trajectory data
L Wei, P Chen, Y Mei, J Sun, Y Wang
Journal of Intelligent Transportation Systems, 1-23, 2023
2023
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–13