Zhibin Chen, Path Controlling of Automated Vehicles for System Optimum on Transportation Networks with Heterogeneous Traffic Stream
In the future, when traffic streams comprise a mix of conventional and automated vehicles (AVs), AVs may be employed as mobile actuators to regulate or manage traffic flow across an urban road network to enhance its performance. This paper develops a path-control scheme to achieve the system optimum (SO) of the network by controlling a portion of cooperative AVs (CAVs) as per the SO routing principle. A linear program is formulated to delineate the scheme and determine the minimum control ratio (MCR) of CAVs to achieve SO. The properties of the MCR are mathematically and numerically investigated. Numerical examples based on real-world networks reveal that the SO of most of the tested networks can be achieved with an MCR below 23%. Considering the low market penetration of AVs at early stages of their deployment, we further investigate a joint path-based control and pricing scheme to replicate SO. Numerical examples demonstrate the remarkable synergy of these combined instruments on reducing the MCR with little collected tolling revenue.
Dr. Zhibin Chen is an Assistant Professor of Engineering at New York University Shanghai. Prior to this appointment, he was a research fellow at Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor. Dr. Chen received his Ph.D. in transportation engineering from the University of Florida in 2017, and his bachelor degree from Sun Yat-sen University, in 2012. Dr. Chen’s research goal is to identify, develop, and implement emerging technologies to achieve a safer, more efficient, and environment-friendly transportation system. His research interests include transportation network modeling and optimization, transportation economics, and emerging vehicle technologies. He was the recipient of the Stella Dafermos Best Paper Award and the Ryuichi Kitamura Paper Award at the 95th TRB Annual Meeting.