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 is developed to send warning messages to the drivers.
Smart Intersection Deployment
Smart intersections will be installed at 21 sites. The 21 sites will be along three main arterials in Ann Arbor: Plymouth Road, Washtenaw Avenue, and Stadium Boulevard.
Smart intersections will be equipped with roadside perception sensors and edge compute that can detect and track road objects.
Smart intersections will benefit automated vehicles because they can provide a panoramic view of the intersection such that objects that are beyond the capability of on-board perception sensor can be identified. Therefore, the Smart Intersections Project will accelerate the deployment of connected and automated vehicles (CAVs) by building an infrastructure foundation.
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.