Fundamentals for Connected and Automated Vehicle (CAV) Modeling

Fundamentals for Connected and Automated Vehicle (CAV) Modeling

Course Overview: This module delves into various aspects of automated vehicle (AV) technologies. Initially, it will explore the three primary technologies essential for automated vehicles, namely sensing, trajectory planning, and vehicle control. Subsequently, it will delve into technologies pertinent to connected vehicles, along with system-level operations and planning. Additionally, relevant policy and planning issues will be addressed. The primary objective of this course is to provide students with foundational knowledge of AV technologies, focusing on vehicle functionalities such as perception, communication, and control, while also familiarizing them with real-world application scenarios.


Course Instructor(s): Xiaopeng Li, Professor of Civil and Environmental Engineering — University of Wisconsin-Madison
Keke Long, Research Assistant — University of Wisconsin-Madison

Headshot of Xiaopeng Li. The link directs to their bio page on the CCAT website.

Dr. Xiaopeng (Shaw) Li is currently a Professor in the Department of Civil and Environmental Engineering and an affiliate in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison (UW-Madison). He served as the director of National Institute for Congestion Reduction (NICR) before. He is a recipient of a National Science Foundation (NSF) CAREER award. He has published over 110 peer-reviewed journal papers. He has served as the PI or a co-PI for a number of federal, state, and industry grants, with a total budget of around $30 million. His major research interests include automation, connectivity, and sensing in transportation and related systems. He received a B.S. degree (2006) in civil engineering with a minor in computer engineering from Tsinghua University, China, an M.S. degree (2007), and a Ph.D. (2011) degree in civil engineering along with an M.S. degree (2010) in applied mathematics from the University of Illinois at Urban- Champaign, USA.

Keke Long Headshot

Keke Long is a Research Assistant in the Department of Civil and Environmental Engineering at University of Wisconsin, Madison, Madison, WI, USA. She obtained her Master’s degree in Traffic Engineering from Tongji University, Shanghai, China in 2021 and B.S. degree in Traffic Engineering from Changan University, Xi’an, China in 2018. Her main research interests are connected and autonomous vehicles and artificial intelligence application in transportation.


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