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Meixin Zhu
Title
Cited by
Cited by
Year
Human-like autonomous car-following model with deep reinforcement learning
M Zhu, X Wang, Y Wang
Transportation research part C: emerging technologies 97, 348-368, 2018
4192018
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke
Transportation Research Part C: Emerging Technologies 117, 102662, 2020
2732020
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
M Zhu, X Wang, A Tarko
Transportation research part C: emerging technologies 93, 425-445, 2018
2162018
Drivers’ rear end collision avoidance behaviors under different levels of situational urgency
X Wang, M Zhu, M Chen, P Tremont
Transportation research part C: emerging technologies 71, 419-433, 2016
1012016
Development of a kinematic-based forward collision warning algorithm using an advanced driving simulator
X Wang, M Chen, M Zhu, P Tremont
IEEE Transactions on Intelligent Transportation Systems 17 (9), 2583-2591, 2016
752016
Impact on car following behavior of a forward collision warning system with headway monitoring
M Zhu, X Wang, J Hu
Transportation research part C: emerging technologies 111, 226-244, 2020
642020
Optimizing signal timing control for large urban traffic networks using an adaptive linear quadratic regulator control strategy
H Wang, M Zhu, W Hong, C Wang, G Tao, Y Wang
IEEE Transactions on Intelligent Transportation Systems 23 (1), 333-343, 2020
482020
Monitoring public transit ridership flow by passively sensing Wi-Fi and Bluetooth mobile devices
Z Pu, M Zhu, W Li, Z Cui, X Guo, Y Wang
IEEE Internet of Things Journal 8 (1), 474-486, 2020
412020
How fast you will drive? predicting speed of customized paths by deep neural network
H Yang, C Liu, M Zhu, X Ban, Y Wang
IEEE transactions on intelligent transportation systems 23 (3), 2045-2055, 2021
342021
Traffic performance score for measuring the impact of COVID-19 on urban mobility
Z Cui, M Zhu, S Wang, P Wang, Y Zhou, Q Cao, C Kopca, Y Wang
arXiv preprint arXiv:2007.00648, 2020
302020
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
282023
Modeling car-following behavior on freeways considering driving style
P Sun, X Wang, M Zhu
Journal of transportation engineering, Part A: Systems 147 (12), 04021083, 2021
222021
Traffic-informed multi-camera sensing (TIMS) system based on vehicle re-identification
H Yang, J Cai, M Zhu, C Liu, Y Wang
IEEE Transactions on Intelligent Transportation Systems 23 (10), 17189-17200, 2022
152022
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
132017
Real-time crash identification using connected electric vehicle operation data
M Zhu, HF Yang, C Liu, Z Pu, Y Wang
Accident Analysis & Prevention 173, 106708, 2022
122022
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
102016
Transfollower: Long-sequence car-following trajectory prediction through transformer
M Zhu, SS Du, X Wang, Z Pu, Y Wang
arXiv preprint arXiv:2202.03183, 2022
92022
Edge computing for real-time near-crash detection for smart transportation applications
R Ke, Z Cui, Y Chen, M Zhu, H Yang, Y Wang
arXiv preprint arXiv:2008.00549, 2020
92020
Impacts of Collision Warning System on Car following Behavior Based on Naturalistic Driving Data
王雪松, 朱美新, 邢祎伦
同济大学学报 (自然科学版)(英文版) 44 (7), 1045-1051, 2016
92016
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
82016
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