Meixin Zhu

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	2224	2115
h-index	18	18
i10-index	31	29

700

350

175

525

20172018201920202021202220232024202512 19 65 147 287 386 475 688 129

Nyilvános hozzáférés

Összes megtekintése

21 cikk

8 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

Yinhai WangProfessor of Civil and Environmental Engineering, University of WashingtonE-mail megerősítve itt: uw.edu
Ziyuan PuProfessor, Southeast University; Adjunct Senior Research Fellow, Monash UniversityE-mail megerősítve itt: monash.edu
Hao (Frank) YangAssistant Professor, Johns Hopkins University, CaSEE-mail megerősítve itt: jhu.edu
Kehua ChenPostdoctoral Associate @ University of Washington | Ph.D. @ HKUSTE-mail megerősítve itt: uw.edu
Zhiyong CuiProfessor, School of Transportation Science and Engineering, School of Software, Beihang UniversityE-mail megerősítve itt: buaa.edu.cn
Ruimin KeAssistant Professor at Rensselaer Polytechnic InstituteE-mail megerősítve itt: rpi.edu
Chenxi (Dylan) LiuUniversity of UtahE-mail megerősítve itt: utah.edu
Xinhu ZhengAssistant Professor, The Hong Kong University of Science and Technology (Guangzhou)E-mail megerősítve itt: hkust-gz.edu.cn
Pengqin WangHong Kong University of Science and TechnologyE-mail megerősítve itt: connect.ust.hk
Hui ZhongThe Hong Kong University of Science and Technology (Guangzhou)E-mail megerősítve itt: connect.hkust-gz.edu.cn
Shaojie ShenAssociate Professor, Hong Kong University of Science and TechnologyE-mail megerősítve itt: ust.hk
Xiaowen ChuIEEE Fellow, Professor, Data Science and Analytics, HKUST(GZ)E-mail megerősítve itt: ust.hk
Xusen GUOHKUST-GZE-mail megerősítve itt: connect.hkust-gz.edu.cn
Professor (Em) Hong Wang (Fellow of...Oak Ridge National Laboratory (Corporate Fellow Grade),E-mail megerősítve itt: ornl.gov
Wanshi HongLawrence Berkeley National LaboratoryE-mail megerősítve itt: virginia.edu
Chieh (Ross) WangOak Ridge National LaboratoryE-mail megerősítve itt: ornl.gov
Di ChenThe Hong Kong Polytechnic UniversityE-mail megerősítve itt: polyu.edu.hk
Hai YangThe Hong Kong University of Science and TechnologyE-mail megerősítve itt: ust.hk
Andrew TarkoPurdue UniversityE-mail megerősítve itt: purdue.edu
Gang TaoProfessor of Electrical and Computer Engineering, University of VirginiaE-mail megerősítve itt: virginia.edu

Követés

Meixin Zhu

Professor, Southeast University

E-mail megerősítve itt: ust.hk - Kezdőlap

Autonomous driving reinforcement learning driving behavior traffic flow traffic safety


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	533	2018
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	415	2020
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	258	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	121	2016
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	82	2020
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	78	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 23 (1), 333-343, 2020	65	2020
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	55	2023
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	53	2020
Follownet: A comprehensive benchmark for car-following behavior modeling X Chen, M Zhu, K Chen, P Wang, H Lu, H Zhong, X Han, X Wang, Y Wang Scientific data 10 (1), 828, 2023	42	2023
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	36	2021
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	34	2020
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	33	2021
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	25	2022
Data-driven Traffic Simulation: A Comprehensive Review D Chen, M Zhu, H Yang, X Wang, Y Wang IEEE Transactions on Intelligent Vehicles, 2024	22	2024
Equidiff: A conditional equivariant diffusion model for trajectory prediction K Chen, X Chen, Z Yu, M Zhu, H Yang 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023	21	2023
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	21	2022
Bevgpt: Generative pre-trained foundation model for autonomous driving prediction, decision-making, and planning P Wang, M Zhu, X Zheng, H Lu, H Zhong, X Chen, S Shen, X Wang, ... IEEE Transactions on Intelligent Vehicles, 2024	19	2024
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	16	2022
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	16	2017

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