Thursday, November 30, 2023 | 12:00 – 1:00 PM (ET)
About the Webinar:
Vehicle scheduling in conflict areas, particularly for transit vehicles amidst mixed traffic, is a critical concern in urban transport networks. To tackle the complexities arising from dense vehicle populations and the imperative of transit priority, our study introduces two strategies for guiding connected automated vehicles (CAVs) through general conflict zones. The first strategy advances a Branch-and-Bound algorithm that expedites the scheduling process by embedding traffic system rules with a preferential bias towards transit vehicles. The second strategy focuses on diminishing the problem’s complexity by reducing the number of controlled units. Theoretical analyses illustrate that the optimal solution gap between the single-vehicle-based and the platoon-based problems is bounded. A series of numerical experiments validate the effectiveness of our proposed strategies, demonstrating that transit-prioritized vehicle scheduling can facilitate efficient transit passage through intersections with minimal compromise on the optimality of the overall traffic flow.
About the Presenter:
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 previously served as the director of the National Institute for Congestion Reduction (NICR). 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 (e.g., sponsored by USDOT, USDOE, NSF), state, and industry grants. 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.