| Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies Z Zhang, M Li, X Lin, Y Wang, F He Transportation Research Part C: Emerging Technologies 105, 297-322, 2019 | 237 | 2019 |
| Robust scheduling strategies of electric buses under stochastic traffic conditions X Tang, X Lin, F He Transportation Research Part C: Emerging Technologies 105, 163-182, 2019 | 161 | 2019 |
| Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach K Zhang, F He, Z Zhang, X Lin, M Li Transportation Research Part C: Emerging Technologies 121, 102861, 2020 | 140 | 2020 |
| Pricing and penalty/compensation strategies of a taxi-hailing platform F He, X Wang, X Lin, X Tang Transportation Research Part C: Emerging Technologies 86, 263-279, 2018 | 123 | 2018 |
| Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach C Wang, F He, X Lin, ZJM Shen, M Li Transportation Research Part C: Emerging Technologies 102, 210-232, 2019 | 68 | 2019 |
| Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data Z Zhang, M Li, X Lin, Y Wang Transportation Research Part C: Emerging Technologies 121, 102870, 2020 | 55 | 2020 |
| Path controlling of automated vehicles for system optimum on transportation networks with heterogeneous traffic stream Z Chen, X Lin, Y Yin, M Li Transportation Research Part C: Emerging Technologies 110, 312-329, 2020 | 53 | 2020 |
| A customized deep learning approach to integrate network-scale online traffic data imputation and prediction Z Zhang, X Lin, M Li, Y Wang Transportation Research Part C: Emerging Technologies 132, 103372, 2021 | 51 | 2021 |
| An agent-based choice model for travel mode and departure time and its case study in Beijing M Zou, M Li, X Lin, C Xiong, C Mao, C Wan, K Zhang, J Yu Transportation Research Part C: Emerging Technologies 64, 133-147, 2016 | 51 | 2016 |
| A spatiotemporal approach for traffic data imputation with complicated missing patterns H Li, M Li, X Lin, F He, Y Wang Transportation Research Part C: Emerging Technologies 119, 102730, 2020 | 50 | 2020 |
| Network-level multiband signal coordination scheme based on vehicle trajectory data H Yan, F He, X Lin, J Yu, M Li, Y Wang Transportation Research Part C: Emerging Technologies 107, 266-286, 2019 | 49 | 2019 |
| Optimal locations and travel time display for variable message signs M Li, X Lin, F He, H Jiang Transportation Research Part C: Emerging Technologies 69, 418-435, 2016 | 47 | 2016 |
| Agent-based en-route diversion: Dynamic behavioral responses and network performance represented by macroscopic fundamental diagrams C Xiong, X Chen, X He, X Lin, L Zhang Transportation Research Part C: Emerging Technologies 64, 148-163, 2016 | 47 | 2016 |
| Graph attention temporal convolutional network for traffic speed forecasting on road networks K Zhang, F He, Z Zhang, X Lin, M Li Transportmetrica B: Transport Dynamics 9 (1), 153-171, 2021 | 45 | 2021 |
| Joint deployment of charging stations and photovoltaic power plants for electric vehicles Z Luo, F He, X Lin, J Wu, M Li Transportation Research Part D: Transport and Environment 79, 102247, 2020 | 44 | 2020 |
| Online-to-offline mobile charging system for electric vehicles: Strategic planning and online operation P Tang, F He, X Lin, M Li Transportation Research Part D: Transport and Environment 87, 102522, 2020 | 40 | 2020 |
| Connected vehicle-based red-light running prediction for adaptive signalized intersections M Li, X Chen, X Lin, D Xu, Y Wang Journal of Intelligent Transportation Systems 22 (3), 229-243, 2018 | 38 | 2018 |
| Rhythmic Control of Automated Traffic—Part I: Concept and Properties at Isolated Intersections X Chen, M Li, X Lin, Y Yin, F He Transportation Science 55 (5), 969-987, 2021 | 30 | 2021 |
| Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism Z Zhang, M Li, X Lin, Y Wang, F He arXiv preprint arXiv:1810.10237, 2018 | 30 | 2018 |
| Travel time reliability measure based on predictability using the Lempel–Ziv algorithm H Li, F He, X Lin, Y Wang, M Li Transportation Research Part C: Emerging Technologies 101, 161-180, 2019 | 28 | 2019 |
Meng LiCivil Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
