This study aims to enhance the safety and efficiency of connected and automated vehicles (CAVs) through the development of a real-time trajectory planning framework that accounts for the unpredictable movements of vulnerable road users (VRUs). This project employs game theory and heuristic algorithms to model and solve the decision-making processes of CAVs and VRUs, considering VRUs’ motion uncertainty. The objectives of this research are to: (1) develop a sophisticated trajectory planning framework for multiple CAVs, ensuring VRU safety; (2) incorporate game theory to model the interactions between CAVs and VRUs; (3) validate the framework through simulations, demonstrating its effectiveness in real-world scenarios; and (4) disseminate the results through a technical paper and simulation videos.
Project Details
Project ID
CPBS 23UWM07
Status
Ongoing
Start Date
July 1, 2024
End Date
June 30, 2024
Focus Areas
Data Analytics, Modeling and Simulation
Safety
Sponsors
US Dept Of Transportation
Research Centers
Institute for Physical Infrastructure and Transportation (IPIT); Center for Pedestrian and Bicyclist Safety (CPBS)
Principal Investigator
Shi, Xiaowei(Tom)
Assistant Professor, Civil & Environmental Engineering
Founder and Director, Automated, Connected & Electric Mobility Systems Lab
Co-Principal Investigator
Qin, Xiao
Director, Institute for Physical Infrastructure and Transportation (IPIT)
Professor, Civil and Environmental Engineering University of Wisconsin-Milwaukee