Charleston Deploys AI Traffic System
The city of Charleston has activated a new AI-powered traffic management system along Calhoun Street to alleviate congestion. The system uses artificial intelligence to optimize traffic flow by adjusting signal timings in real time, with its efficacy to be monitored in the coming months.
- The deployment targets one of the peninsula's most dangerous corridors; from 2013 to 2018, Calhoun Street saw 754 crashes, which included 156 injury crashes and two fatalities. - This initiative is supported by a $1 million federal grant from the U.S. Department of Transportation's "SMART" (Strengthening Mobility and Revolutionizing Transportation) program. - The new system is active at nine intersections along the Calhoun corridor, where it uses cameras and sensors to analyze real-time data on cars, pedestrians, and cyclists to adjust traffic light timing. - Unlike traditional fixed-timing signals, the technology can proactively identify near-miss incidents and adjust signal patterns to help prevent future accidents. - According to Charleston City Councilmember Mike Seekings, the cameras are not used for policing or issuing tickets, but strictly to gather data for safety and efficiency improvements. - Following the Calhoun Street implementation, the city has already expanded the use of similar AI camera technology to Maybank Highway on John's Island to address traffic issues there. - Similar AI traffic systems in other cities have shown significant results; in Phoenix, Arizona, a project reduced red-light running incidents by 70% and cut peak afternoon commute delays by up to 29%. - A report on the initial performance data for the Calhoun Street corridor is expected to be released in the coming months.
