工况紧急程度对驾驶员避撞行为的影响 王雪松, 朱美新, 陈铭 同济大学学报 (自然科学版) 44 (6), 876-883, 2016 | 8 | 2016 |
基于自然驾驶数据的避撞预警对跟车行为影响 王雪松, 朱美新, 邢祎伦 同济大学学报: 自然科学版 44 (7), 1045-1051, 2016 | 10 | 2016 |
基于自然驾驶数据的中国驾驶人城市快速路跟驰模型标定与验证 王雪松, 朱美新 中国公路学报 31 (9), 129-137, 2018 | 6 | 2018 |
驾驶员前向避撞行为特征的降维及多元方差分析 王雪松, 朱美新, 陈铭 同济大学学报: 自然科学版 44 (12), 1858-1866, 2016 | 1 | 2016 |
A Connected Vehicle-Based Adaptive Navigation Algorithm Y Wang, W Zhu, M Zhu | | 2019 |
A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge Y Du, J Chen, C Zhao, F Liao, M Zhu Computer‐Aided Civil and Infrastructure Engineering 38 (8), 1059-1078, 2023 | 38 | 2023 |
AggFollower: Aggressiveness Informed Car-Following Modeling X Chen, X Yuan, M Zhu, X Zheng, S Shen, X Wang, Y Wang, FY Wang IEEE Transactions on Intelligent Vehicles, 2024 | 1 | 2024 |
An artificial intelligence platform for network-wide congestion detection and prediction using multi-source data Y Wang, XJ Ban, Z Cui, M Zhu Connected Cities for Smart Mobility toward Accessible and Resilient …, 2019 | 2 | 2019 |
An exploration of cut-in behavior and gap acceptance using Shanghai naturalistic driving data X Wang, M Yang, DS Hurwitz, M Zhu Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 1 | 2018 |
Behavior modeling and motion planning for autonomous driving using artificial intelligence M Zhu | 1 | 2022 |
Bevgpt: Generative pre-trained large model for autonomous driving prediction, decision-making, and planning P Wang, M Zhu, H Lu, H Zhong, X Chen, S Shen, X Wang, Y Wang arXiv preprint arXiv:2310.10357, 2023 | 5 | 2023 |
Calibrating and Validating Car-following Models on Urban Expressways for Chinese Drivers Using Naturalistic Driving Data X Wang, M Zhu China Journal of Highway and Transport 31 (9), 129-138, 2017 | 14 | 2017 |
Calibrating Car-Following Models on Freeway Based on Naturalistic Driving Study P Sun, X Wang, M Zhu CICTP 2019, 593-604, 2019 | 2 | 2019 |
Calibrating car-following models on surface roads using shanghai naturalistic driving data X Wang, L He, M Zhu, C Chai Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | 2 | 2019 |
Car-following headways in different driving situations: A naturalistic driving study M Zhu, X Wang, X Wang CICTP 2016, 1419-1428, 2016 | 9 | 2016 |
Car-following Headways in Different Driving Situations: A Naturalistic Driving Study in China X Wang, M Zhu Fifth International Symposium on Naturalistic Driving Research, 2016 | | 2016 |
Catch Planner: Catching High-Speed Targets in the Flight H Yu, P Wang, J Wang, J Ji, Z Zheng, J Tu, G Lu, J Meng, M Zhu, S Shen, ... IEEE/ASME Transactions on Mechatronics 28 (4), 2387 - 2398, 2023 | 4 | 2023 |
Combining time dependency and behavioral game: A Deep Markov Cognitive Hierarchy Model for human-like discretionary lane changing modeling K Chen, M Zhu, L Sun, H Yang Transportation Research Part B: Methodological, 102980, 2024 | | 2024 |
Cooperative perception of roadside unit and onboard equipment with edge artificial intelligence for driving assistance Y Wang, W Sun, C Liu, Z Cui, M Zhu, Z Pu Connected Cities for Smart Mobility toward Accessible and Resilient …, 2021 | 5 | 2021 |
Data-driven Traffic Simulation: A Comprehensive Review D Chen, M Zhu, H Yang, X Wang, Y Wang IEEE Transactions on Intelligent Vehicles, 2024 | 2 | 2024 |