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Yafeng Yin
H指数:58
被引数:1.1万
个人简介
A Professor of Civil and Environmental Engineering and Professor of Industrial and Operations Engineering at the University of Michigan, Ann Arbor. Research aims to analyze and enhance multimodal transportation systems towards efficiency, resilience, and environmental sustainability, with a current focus on developing innovative mobility solutions and services by leveraging vehicle connectivity and automation. The scholar has published nearly 150 refereed papers in leading academic journals. He served as Editor-in-Chief of Transportation Research Part C: Emerging Technologies between 2014 and 2020. Currently, he serves as Area Editor of Transportation Science and Associate Editor of Transportation Research Part B: Methodological. He also serves on the International Advisory Committee of the International Symposium of Transportation and Traffic Theory (ISTTT) and the Steering Committee of the World Conference on Transport Research Society (WCTRS).
教育背景
2002.12
University of Tokyo PhD Civil Engineering
1996.12
Tsinghua University ME Civil Engineering
1994.12
Tsinghua University BE Environmental Engineering
工作经历
暂无内容
荣誉奖项
- Faculty-Staff Partnership Award（May 2021）｜College of Engineering, University of Michigan
- Monroe-Brown Foundation Education Excellence Award（March 2021）｜College of Engineering, University of Michigan
- Outstanding Leadership Award（July 2018）｜Chinese Overseas Transportation Association
- Ryuichi Kitamura Award（July 2016）｜Travel Analysis Methods Section, Transportation Research Board
- Stella Dafermos Best Paper Award（January 2016）｜Transportation Network Modeling Committee, Transportation Research Board
- 2015 Faculty Mentor Research Award（April 2015）｜Engineering School of Sustainable Infrastructure and Environment, University of Florida
- 2011-2012 Advisor/Mentoring Award（April 2012）｜University of Florida
从经验数据构建交通网络均衡模型：一种逆向学习视角
用硅估价时间: 大型语言模型能否复制旅行时间的人类价值
洪水行进路径与拥堵感知疏散调度的联合优化
停车及充电即服务：集成停车与充电预约系统的在线准入与分配策略
基于信用的移动系统中的动态特性：收敛到周期性使用模式的平衡状态
船舶战略行为下集装箱航运网络中的岸电能力分配
参与式交通控制: 利用互联和自动化车辆提高网络效率
基于门槛的乘车司机激励: 对供应管理和福利效应的影响
