Michigan Engineering researchers are partnering with the Road Commission for Oakland County in Michigan to improve the timing of traffic signals. Timing stop lights is an important step to reducing congestion at an intersection, but the high maintenance cost makes it difficult for most cities to stay on top of it.
The University of Michigan research team proposes a cloud based re-timing system that uses anonymized trajectory data from connected vehicles to help create new timing plans.
It was piloted in Birmingham, Mich. and was used to re-time all of the city's 32 traffic signals, showing a major decrease to both traffic delay and the number of stops at an intersection. The system is a step up from current re-timing methods, which require traffic controllers to collect data by hand-counting cars during peak times at intersections. The widespread availability of trajectory data from connected vehicles will make it easy to scale the cloud based system, potentially bringing this to traffic control agencies nationwide.
Read the paper in Nature Communications:
Traffic light optimization with low penetration rate vehicle trajectory data
Published: February 20, 2024
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This project was led by Henry Liu, director of the U-M Center for Connected and Automated Transportation (CCAT), as well as the director of Mcity and the Bruce D. Greenshields Collegiate Professor of Engineering.
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Road Commission for Oakland County:
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