馬明輝

發布者：謝祥雄發布時間：2020-01-17瀏覽次數：7613


姓名：馬明輝（Minghui Ma）

職稱：教授          學歷層次：博士

所屬部門：智能車輛工程系

辦公室地點：交通大樓8B419

聯系方式：maminghui1989@hotmail.com；18643154316

主講課程：智能網聯汽車技術、智能網聯汽車決策控制技術等

個人簡介

 馬明輝，工學博士，教授，碩士生導師，主要從事智能網聯車輛決策、智能交通控制等方面的研究；主持國家自然科學基金青年項目、上海市自然科學基金項目、橫向課題數余項。近年在TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES、Transportmetrica B、CNSNS、AMM等高水平期刊發表學術論文30余篇，最高IF=15.9，申請發明專利6項。指導研究生25人，其中獲得國家勵志獎學金2人次，畢業繼續攻讀博士學位學生5名（同濟大學、重慶大學、上海大學、北京交通大學、蘇州大學）。歡迎相關專業（包括機械、汽車、計算機等）優秀本科生加入科研團隊！

教育及工作經歷

2024年12月至今：上海工程技術大學 機械與汽車工程學院 教授

2023年06月至今：上海工程技術大學 機械與汽車工程學院 副系主任

2019年12月至2024年12月：上海工程技術大學 機械與汽車工程學院 副教授

2016年08月至2019年12月：上海工程技術大學 機械與汽車工程學院講師

2011年09月至2016年07月：吉林大學 交通學院 碩博連讀 工學博士

主持或參與的科研項目

(1)上海市自然科學基金面上項目（No.20ZR1422300），主持

(2)國家自然科學基金青年項目（No.71801149），主持

(3)智能網聯汽車決策控制技術服務，企業委托，主持

(4) 上海高校青年教師培養資助計劃，主持

(5) 上海高校中青年教師產學研踐習計劃，主持

(6) 上海工程技術大學科研啟動項目，主持

(7) 國家重點研發項目子課題，參與

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，中科院一區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，中科院二區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，中科院二區)

  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，中科院二區)

  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，中科院二區)

  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，中科院二區)

  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，中科院二區)

  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，中科院二區)

  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，中科院一區)

  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，中科院一區)

  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，中科院一區)

  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)

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