Studying Vehicle and Electric Scooter Conflicts via Naturalistic Data Collection and Analytics

April 8, 2022

12:00 PM – 1:00 PM EDT

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+1 813-694-2079 United States, Tampa (Toll)  

Conference ID: 495 510 442#  

www.cutr.usf.edu/seminars

Electric scooters (e-scooters) have quickly spread in college towns and cities in the U.S. and worldwide as a convenient, cost-effective, and clean mobility option. However, as the number of e-scooters increases, crashes and accidents associated with them also tend to rise quickly, which poses a new challenge to road safety for vehicles, pedestrians, and other road users. Thus, it is critical to study this new mobility option and address its potential safety concerns. In this talk, Dr. Li will present a recent research study on investigating vehicle and e-scooter conflicts via naturalistic data collection and analytics. Both vehicle-centric and e-scooter-centric data collection systems will be introduced. Preliminary data analysis results will also be presented and discussed.

Lingxi Li, Ph.D., received his Ph. D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2008. Since August 2008, he has been with Indiana University-Purdue University Indianapolis (IUPUI), where he is currently a professor of electrical and computer engineering. Dr. Li’s research interests include modeling, control, and optimization of complex systems, intelligent transportation systems, connected and automated vehicles, and human-machine interaction. He has authored/co-authored over one book and 120+ research articles in refereed journals and conferences. Dr. Li was a recipient of four best paper awards, outstanding research contributions award, IEEE ITS Society outstanding application award, outstanding editorial service award, and university research/teaching awards. He is a senior member of the IEEE and a member of the SAE and AAAS.