Journeying Through the Human-Machine Nexus: Unraveling Driver Behavior, Social Network Dynamics, and Autonomous Vehicles in Transportation
CME Department Seminar
April 19, 2024
11:00 AM - 12:00 PM America/Chicago
Presenter: Ying Chen, PhD, Northwestern University
Location: 1033 ERF
Abstract: Studying driver behavior in transportation is crucial not only for ensuring road safety, optimizing transportation systems, and understanding human factors in traffic management but also provides invaluable insights for designing AVs that can interact safely and efficiently with other road users. As we navigate the complexities of driver decision-making in varying traffic conditions, this talk proposes an agent-based modeling approach to explore the impact of social network connectivity and information exchange on route choice. Furthermore, recognizing that AVs represent a transformative shift in transportation, it becomes imperative to analyze their driving behavior comprehensively. Thus, this talk introduces a novel framework known as the Gramian Angular Field Vision Transformer (GAF-ViT) model for dissecting and understanding the behavior of AVs on the road. By integrating insights from both human and AV behavior studies, we aim to pave the way for safer, more efficient, and seamlessly integrated transportation systems of the future.
Speaker Bio: Dr. Ying Chen is an assistant professor of instruction in the Department of Civil and Environmental Engineering at Northwestern University. She is interested in developing and applying advanced data science methodologies to address challenges in transportation, aiming to enhance efficiency and sustainability in urban mobility. She is dedicated to advancing our understanding of traveler behavior in the evolving transportation landscape, combining insights from human and automated perspectives to shape the future of mobility. She earned her Ph.D. in civil and environmental engineering and her M.S. in computer science from Northwestern University. She also holds bachelor’s degrees in computer science and automation.
Date posted
Apr 16, 2024
Date updated
Apr 16, 2024