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韩雨,博士,1989年生,东南大学交通学院副教授。2017年获得荷兰代尔夫特理工大学博士学位(导师:Prof. Serge Hoogendoorn, Dr. Andreas Hegyi),2013年获得北京交通大学系统工程硕士学位,2011年获得哈尔滨工业大学交通工程学士学位。
科研工作经历方面,2016.10-2017.2在澳大利亚悉尼大学做访问学者(合作者:Dr. Mohsen Ramezani),2017.9-2017.10在芬兰阿尔托大学任副研究员(合作者:Dr. Claudio Roncoli),2017.10-2019.3在滴滴出行城市交通事业部担任高级算法工程师(事业部负责人:Prof. Henry Liu),2019.4-2019.8在香港理工大学进行博士后研究(合作者:Prof. Edward Chung),2019.9入职东南大学。
目前主持在研的科研项目包括:国家自然科学基金项目“模型与数据双驱动的城市快速路可变限速与匝道限流协同控制方法”,江苏省自然科学基金项目,南京市留学人员择优资助项目。重点参与且承担经费的项目包括:国家重点研发计划项目课题“基于大数据的城市多模式交通系统仿真架构及支撑技术”,国家自然科学基金重点项目“基于大数据的城市道路交通流模型及仿真优化控制方法”,国家自然科学基金重点项目“车路协同环境下新型混合交通流事故风险演化机理与控制策略”,重大工程项目“京德、荣乌智慧高速公路系统建设及应用示范”。
研究成果发表在ISTTT,Transportation Research Part C,IEEE Transactions on Intelligent Transportation Systems等交通领域顶级期刊及会议上。以下为代表性成果(仅列出以第一作者发表的期刊论文):
Han, Y., Wang, M, Li, L., Roncoli,C., Gao, J. and Liu, P. A physics-informed reinforcement learning-basedstrategy for local and coordinated ramp metering. Transportation Research PartC: Emerging Technologies, 2022, 137, 103548.
Han, Y., Hegyi, A., Zhang, L., He, Z., Chung,E., Liu, P. A new reinforcement learning-based variable speed limitcontrol approach to improve traffic efficiency against freeway jam waves, Transportation Research Part C: EmergingTechnologies, 2022.
Han, Y., Zhang, M., Guo, Y. and Zhang, L. Astreaming-data-driven method for freeway traffic state estimation using probevehicle trajectory data. Physica A: Statistical Mechanics and its Applications,2022, 606, 128045.
Han, Y., Yu, H., Li, Z., Xu, C., Ji,Y. and Liu, P. An optimal control-based vehicle speed guidance strategy toimprove traffic safety and efficiency against freeway jam waves. Accident Analysis &Prevention, 2021, 163, 106429.
Han, Y., Wang, M., He, Z., Li, Z.,Wang, H., & Liu, P. A linear Lagrangian model predictive controller ofmacro-and micro-variable speed limits to eliminate freeway jam waves. TransportationResearch Part C: Emerging Technologies, 2021, 128, 103-121. (Virtual Special Issue ISTTT24)
Han, Y., M. Ramezani, A. Hegyi, Y.Yuan, and S. P. Hoogendoorn. Hierarchical ramp metering in freeways: Anaggregated modeling and control approach. Transportation Research Part C:Emerging Technologies, 2020, 110,1–19.
Han, Y., A. Hegyi, Y. Yuan, C.Roncoli, and S. P. Hoogendoorn. An Extended Linear Quadratic Model PredictiveControl Approach for Multi-Destination Urban Traffic Networks. IEEETransactions on Intelligent Transportation Systems, 2019, 10(20), 3647–3660.
Han, Y., A. Hegyi, Y.Yuan,S.Hoogendoorn, M.Papageorgiou, and C. Roncoli, Resolving freeway jam waves bydiscrete first-order model-based predictive control of variable speed limits.Transportation Research Part C: Emerging Technologies, 2017, 77, 405-420.
Han, Y., A. Hegyi, Y. Yuan, and S.P. Hoogendoorn. Validation of an extended discrete first-order model withvariable speed limits. Transportation Research Part C: Emerging Technologies, 2017,83,1–17.
Han, Y., Y. Yuan, A. Hegyi, andS.P. Hoogendoorn, New extended discrete first-order model to reproducepropagation of jam waves. Transportation Research Record, 2016, 2560(1), 108-118.
韩雨,郭延永,张乐,刘攀.消除高速公路运动波的可变限速控制方法[J].中国公路学报,2022,v.35;No.221(01):151-158.
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