报告题目: 车路协同环境下的智能交通管理：数据，优化和网络安全 (Intelligent Traffic Management Under Cooperative Driving Automation: Data, Control, and Cybersecurity)
With the development of next-generation transportation system with connected and automated vehicles (CAVs), the transportation infrastructure will also be equipped with sensors, communication devices, and edge computing capabilities, which enables cooperative driving automation (CDA). Under CDA, the traffic control paradigm will also be significantly changed. In this talk, I will introduce our recent work in intelligent traffic management under CDA with examples in cooperative perception based data acquisition, spatiotemporal intersection management, and V2X cybersecurity.
Dr. Yiheng Feng is an assistant professor at Lyles School of Civil Engineering, Purdue University. He received his Ph.D. from Department of Systems and Industrial Engineering at University of Arizona. His research areas include traffic operations and control, connected and automated vehicles (CAVs) and smart transportation infrastructure, with a focus on cooperative driving automation and transportation system cybersecurity. He has served as PI and Co-PI in many research projects funded by NSF, USDOT, and USDOE. His work appeared in many top journals and conferences and won several best paper awards from INFORMS, and NDSS. He is serving as an editor of multiple transportation journals. He is a member of the Traffic Signal Systems Committee (ACP25) at Transportation Research Board and co-chair of Simulation Subcommittee.
报告时间：2023年4月18日 星期二 早8:00-9:30