Optimal Design of Autonomous Vehicle Zones in Transportation Networks

Wednesday, February 21, 2018 - 1:00pm - 2:00pm EST

  • Location:15 MetroTech, 6th Floor, C2Smart Conf Rm

This study advocates the need for infrastructure planning to adapt to and further promote the deployment of autonomous vehicle (AV) technology. It is envisioned that in the future government agencies will dedicate certain areas of road networks to AVs only to facilitate the formulation of vehicle platoons to improve throughput and hopefully improve the performance of the whole network. This study aims to present a mathematical framework for the optimal design of AV zones in a general network. With the presence of AV zones, AVs may apply different routing principles outside of and within the AV zones. A novel network equilibrium model (we refer to it as the “mixed routing equilibrium model”) is thus firstly proposed to capture such mixed-routing behaviors. We then proceed to formulate a mixed-integer bi-level programming model to optimize the deployment plan of AV zones. Numerical examples are presented to demonstrate the performance of the proposed models.

Zhibin Chen received his Ph.D. in transportation engineering from the University of Florida in 2017. He is currently a Research Fellow in the Department of Civil and Environmental Engineering at the University of Michigan. His research interests include transportation network modeling and optimization, transportation economics, intelligent transportation system, and emerging vehicle technologies.