Please mark your calendars for our next webinar, this Friday, November 13th:
On Multi-class Automated Vehicles: Car-following Behavior and Its Implications for Traffic Dynamics
Speaker: Wissam Kontar, Ph.D. Student, University of Wisconsin - Madison
Date & Time: Friday, November 13th, 11:00 AM EST
This talk will present an analysis of the car-following (CF) behavior of automated vehicles (AVs) under different vehicle control paradigms and control settings, and investigates how multi-class AVs collectively impact traffic dynamics. Two well-known controllers -- linear state-feedback control and Model Predictive Control -- are analyzed in this study. The asymmetric behavior (AB) car-following (CF) model framework is adopted, substantiated by an empirical analysis of real AV data, to analyze the different controllers in a unifying fashion. The analysis unveils the physical mechanisms of control, their manifestation in the AV CF behavior, and any discernible differences between the controllers. A wide range of control parameters are mapped into the AB model parameters through numerical simulations to understand the range of CF behavior possible. The mapped relationship is modeled by coupling logistic classifier and a convoluted Gaussian Process (GP) model to predict the CF behavior, which is validated by simulated and real AV data. These analysis results and insights are integrated to elucidate traffic-level behavior.
Wissam Kontar is a Ph.D. student in the Department of Civil and Environmental Engineering at the University of Wisconsin – Madison, working under the supervision of Prof. Soyoung Ahn. He received his B.E. in Civil Engineering and Mathematics in 2018 from the American University of Beirut, Lebanon. His research interest broadly focuses on developing decision-making methodologies specifically tailored for transportation systems in the era of connected and automated vehicles. His key focus is on real-time performance analysis of interconnected transportation systems, microscopic traffic flow modeling, and data-driven control of connected and automated vehicles.