马明辉

发布单位：机械与汽车工程学院编辑：发布日期：2020/01/17浏览量：7613


姓名：马明辉（Minghui Ma）

职称：教授          学历层次：博士

所属部门：智能车辆工程系

办公室地点：交通大楼8B419

联系方式：maminghui1989@hotmail.com；18643154316

主讲课程：智能网联汽车技术、智能网联汽车决策控制技术等

个人简介

 马明辉，工学博士，教授，硕士生导师，主要从事智能网联车辆决策、智能交通控制等方面的研究；主持国家自然科学基金青年项目、上海市自然科学基金项目、横向课题数余项。近年在TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES、Transportmetrica B、CNSNS、AMM等高水平期刊发表学术论文30余篇，最高IF=15.9，申请发明专利6项。指导研究生25人，其中获得国家励志奖学金2人次，毕业继续攻读博士学位学生5名（同济大学、重庆大学、上海大学、北京交通大学、苏州大学）。欢迎相关专业（包括机械、汽车、计算机等）优秀本科生加入科研团队！

教育及工作经历

2024年12月至今：上海工程技术大学 机械与汽车工程学院 教授

2023年06月至今：上海工程技术大学 机械与汽车工程学院 副系主任

2019年12月至2024年12月：上海工程技术大学 机械与汽车工程学院 副教授

2016年08月至2019年12月：上海工程技术大学 机械与汽车工程学院讲师

2011年09月至2016年07月：吉林大学 交通学院 硕博连读 工学博士

主持或参与的科研项目

(1)上海市自然科学基金面上项目（No.20ZR1422300），主持

(2)国家自然科学基金青年项目（No.71801149），主持

(3)智能网联汽车决策控制技术服务，企业委托，主持

(4) 上海高校青年教师培养资助计划，主持

(5) 上海高校中青年教师产学研践习计划，主持

(6) 上海工程技术大学科研启动项目，主持

(7) 国家重点研发项目子课题，参与

主要科研成果

  1. Wang T(研究生), Ma M*, Liang S, et al. Robust lane change decision for autonomous vehicles in mixed traffic: A safety-aware multi-agent adversarial reinforcement learning approach[J]. Transportation Research Part C: Emerging Technologies, 2025, 172: 105005. (SCI，中科院一区Top)

  2. Ma M, Han X, Liang S, et al. Connected vehicles ecological driving based on deep reinforce learning: Application of Web 3.0 technologies in traffic optimization[J]. Future Generation Computer Systems, 2025, 163: 107544. (SCI，中科院二区Top)

  3. Yang W(研究生), Ma M, Liang S, et al. Coordination optimization of wireless charging and traffic efficiency in freeway Merging zones[J]. Physica A: Statistical Mechanics and its Applications, 2025: 130701. (SCI，中科院二区)

  4. Wang Y(研究生), Ma M*, Liang S, et al. Optimal control strategy for electric vehicle platoons in dynamic wireless charging lane considering charge demand differences[J]. Physica A: Statistical Mechanics and its Applications, 2024, 655: 130190. (SCI，中科院二区)

  5. Zhang C(研究生),Ma M*, Liang S, et al. Platoon-based control strategy in mixed traffic to improve ramp merging efficiency and fuel reduction[J]. Physica A: Statistical Mechanics and its Applications, 2024, 645: 129836. (SCI，中科院二区)

  6. Lu R(研究生), Ma M*, Wang Y, et al. Dynamic areas strategy design for variable speed limiting at fixed freeway bottlenecks[J]. Physica A: Statistical Mechanics and its Applications, 2023: 128572. (SCI，中科院二区)

  7. Ma M*, Wang W, Liang S, et al. Improved car-following model for connected vehicles considering backward-looking effect and motion information of multiple vehicles[J]. Journal of Transportation Engineering, Part A: Systems, 2023, 149(2): 04022148. (SCI)

  8. Yuan N(研究生), Ma M*, Liang S, et al. Optimal control method of freeway based on tollbooths lane configuration and variable speed limit control[J]. Physica A: Statistical Mechanics and its Applications, 2022, 603: 127801. (SCI，中科院二区)

  9. Lu R(研究生), Ma M*, Liang S. Variable speed limit strategy with dynamic control cycle based on predictive control[J]. Transportation Research Record, 2022: 03611981221116357. (SCI)

  10. Wang W(研究生), Ma M*, Liang S, et al. Modeling and stability analysis of car-following behavior for connected vehicles by considering driver characteristic[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2023: 09544070221145478. (SCI)

  11. Wang W(研究生), Ma M*, Liang S, et al. Density waves in an improved car-following model under intelligent transportation system environment[J]. Modern Physics Letters B, 2022, 36(15): 2250014. (SCI)

  12. Hou J(研究生), Ma M*, Xiao J. Variable speed limit control with dynamic location of message signs for the internet-of-vehicles environment[J]. Transportation Research Record, 2022, 2676(6): 756-773. (SCI)

  13. Ma M*, Xiao J, Liang S, et al. An extended car-following model accounting for average optimal velocity difference and backward-looking effect based on the internet of vehicles environment[J]. Modern Physics Letters B, 2022, 36(06): 2150562. (SCI)

  14. Xiao J(研究生), Ma M*, Liang S, et al. The non-lane-discipline-based car-following model considering forward and backward vehicle information under connected environment[J]. Nonlinear Dynamics, 2021: 1-15. (SCI，中科院二区)

  15. Ma M, Ma G, Liang S*.  Density waves in car-following model for autonomous vehicles with backward looking effect[J]. Applied Mathematical Modelling, 2021, 94: 1-12. (SCI，中科院一区)

  16. Ma G(研究生), Ma M*, Liang S, et al. An improved car-following model accounting for the time-delayed velocity difference and backward looking effect[J]. Communications in Nonlinear Science and Numerical Simulation, 2020, 85: 105221. (SCI，中科院一区)

  17. Ma G(研究生), Ma M*, Liang S, et al. Nonlinear analysis of the car-following model considering headway changes with memory and backward looking effect[J]. Physica A: Statistical Mechanics and its Applications, 2021, 562: 125303 (SCI，中科院一区)

  18. Zhang Y(研究生), Ma M*, Liang S. Dynamic control cycle speed limit strategy for improving traffic operation at freeway bottlenecks[J]. KSCE Journal of Civil Engineering, 2021, 25(2): 692-704. (SCI)

  19. Ma M*, Zhang Y, Liang S. Dynamic control cycle speed limit strategy for balanced reduction of travel time and emissions[J]. Modern Physics Letters B, 2021, 35(09): 2150153. (SCI)

  20. Ma M, Liang S*, Zhang H. A dynamic competition control strategy for freeway merging region balancing individual behaviour and traffic efficiency[J].Promet-Traffic& Transportation, 2020, 32(5): 595-609. (SCI)