Safe and Efficient Roundabouts by Artificial Intelligence and V2X Technology
In 2020, State St./Ellsworth Rd roundabout had 69 crashes and 6 injuries and was ranked #14 for the most dangerous intersections in Michigan.
This roundabout project focuses on improving the safety and efficiency of roundabouts through artificial intelligence (AI) and V2X technology.
An infrastructure-based data monitoring and collection solution is proposed at roundabouts by tracking the trajectories of all road users using advanced sensors (e.g., camera and radar).
Both safety and mobility impacts will be analyzed. An Intersection Movement Assist (IMA) application for roundabout will be developed to send warning messages to the drivers.
WASHINGTON – The U.S. Department of Transportation’s Federal Highway Administration (FHWA) today awarded a $9.95 million Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) grant to the University of Michigan for the Smart Intersections: Paving the Way for a National CAV Deployment Project. Prof. Henry Liu is the PI for this project.