Oct 18 2024

Advancing Transportation Systems with Sensing and Digital Twins: A Case Study on Interstate-24

CME Department Seminar

October 18, 2024

11:00 AM - 12:00 PM America/Chicago

Location

ERF Room 1047

Address

842 W. Taylor St., Chicago, IL 60607

Presenter: Yanbing Wang, PhD, Argonne National Laboratory
Location: ERF Room 1047

Abstract: Transportation systems are undergoing a digital transformation -- road infrastructure, sensing technologies, and vehicles are becoming increasingly connected and are collectively shaping traffic patterns. This seminar will explore a case study of a freeway segment of Interstate-24 near Nashville, TN. I will introduce I-24 MOTION, a state-of-the-art densely instrumented camera network for highway traffic sensing. The presentation will cover the algorithms and software pipeline used for automatic data reconciliation that enables continuous generation of high-resolution vehicle trajectory data from video processing. In addition, I will demonstrate a large-scale connected and automated vehicles (CAVs) on-road test using this system. Finally, I will highlight the development of a digital twin traffic corridor leveraging this data and discuss its potential for advancing future transportation research.

Speaker Bio: Dr. Yanbing Wang is a postdoctoral researcher in the Transportation and Power Systems division at Argonne National Laboratory, and will join Arizona State University as an assistant professor in 2025. She earned her Ph.D. from Vanderbilt University in September 2023, where she was a research engineer at the Institute for Software Integrated Systems. Wang is a five-time recipient of the prestigious Dwight D. Eisenhower Transportation Fellowship awarded by the Federal Highway Administration (FHWA). She has held multiple research internship positions, including at Toyota Infotech Labs and Mitsubishi Electric Research Laboratories (MERL), and was a visiting researcher at the Institute for Pure & Applied Mathematics (IPAM) at UCLA. Her research focuses on collaborative sensing, vehicle automation, and traffic modeling to advance transportation cyber-physical systems (CPS). Currently, she leads efforts on developing digital-twin traffic corridors to assess the performance of connected and automated vehicles (CAVs) and everything-in-the-loop (XIL) technologies.

Contact

Dr. Jane Lin

Date posted

Oct 4, 2024

Date updated

Oct 4, 2024