Modeling Traffic Flow of AVs, and What if They are also EVs?

Date and Time: Monday, July 18: 1:30 PM - 5:00 PM
Location: Pacific

David Kan

Assistant Professor, Florida Atlantic University

PRESENTATION DESCRIPTION

Vehicle automation has been highly anticipated as it promises to potentially reduce congestion by improving capacity. In fact, most new vehicles sold today are partially automated via Adaptive Cruise Control (ACC). Contrary to previous expectations, microscopic models and simulations developed based on trajectory data obtained from over 22,000 miles of field experiments suggest that ACC could exacerbate congestion when compared with human drivers. Fortunately, when ACC is paired with electric powertrain, the instantaneous torque and constant power of the electric motor could mitigate the negative impact of ACC and even deliver improved capacity. This has been demonstrated by recent field experiments that generated more than 1000 miles of trajectory data, using mainstream electric vehicles equipped with ACC.

SPEAKER BIOGRAPHY

Dr. David Kan is an Assistant Professor in Civil Engineering at Florida Atlantic University. He received his M.S. in 2014 and Ph.D. in 2017 in Civil Engineering from University of California Berkeley. He obtained his B.S. in Civil Engineering from University of Illinois Urbana Champaign in 2013. Prior to joining Florida Atlantic University in Fall 2019, he had been a lecturer and a postdoctoral researcher at University of California Berkeley. His research focuses on traffic operations, intelligent transportation systems, and connected and automated vehicles. Dr. Kan also has extensive experience in conducting field experiments and collecting trajectory data for automated driving systems.

PRESENTATION FILE