Tuesday, March 25, 2025 | 12:00 – 1:00 PM (ET)
Connected and Automated Vehicles (CAVs) play a pivotal role in alleviating urban road network congestion. This study adopts a macroscopic approach to identify strategies for using CAVs to ease traffic congestion and reduce energy consumption. Specifically, this study proposes an Area Transmission Model (ATM) based on Macroscopic Fundamental Diagram (MFD) suitable for city-level network applications. It also presents a macro-optimization control strategy that utilizes speed advisories to modulate traffic flow across the network, thereby ensuring effective congestion management and enhanced energy efficiency. By employing the city of Madison as a case study, the research examines the optimal speed advisory solution. This methodology demonstrates the potential for improving traffic management practices, highlighting a promising path forward for optimizing urban transportation systems.
About the Presenters:
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 120 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.
Yang Li is a Ph.D. candidate in the Civil and Environmental Engineering Department at the University of Wisconsin, Madison. She obtained her Master degree from Beijing Jiaotong University, Beijing, China, in 2019. Her research focuses on automated vehicle evaluation, advanced transportation system operations, and public perception of emerging transportation technologies. Her research has been published in a series of mainstream transportation journals.
