Meixin Zhu
Meixin Zhu
Ph.D. Student, Smart Transportation Applications and Research (STAR) Lab, University of Washington
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Car-following headways in different driving situations: A naturalistic driving study
M Zhu, X Wang, X Wang
CICTP 2016, 1419-1428, 2016
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
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
Human-like autonomous car-following planning by deep reinforcement learning
M Zhu, X Wang, Y Wang
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
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
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
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, 2020
Mining public transit ridership flow and origin-destination information from Wi-Fi and Bluetooth sensing data
Z Pu, M Zhu, Z Cui, Y Wang
arXiv preprint arXiv:1911.01282, 2019
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment
M Zhu, J Hu, Z Pu, Z Cui, L Yan, Y Wang
arXiv preprint arXiv:1911.05626, 2019
Globalized Modeling and Signal Timing Control for Large-scale Networked Intersections
H Wang, CR Wang, M Zhu, W Hong
Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, 1-7, 2019
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
王雪松, 朱美新
中国公路学报 31 (9), 129-138, 2018
王雪松, 朱美新, 陈铭
同济大学学报 (自然科学版) 44 (6), 0876-0883, 2016
王雪松, 朱美新, 陈铭
同济大学学报: 自然科学版 44 (12), 1858-1866, 2016
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