Chattanooga, TN partners with university researchers to develop adaptive traffic control system
Chattanooga, TN Adaptive Traffic Control System Researchers
A three-year pilot turns research from the University of Tennessee-Chattanooga and other partners into a real-time traffic management system. Sensors and cameras on the 10-block MLK Smart Corridor generate 800 million data points per day. The first two years of the project resulted in algorithms that automatically adjust traffic lights. City commuters are experiencing these insights during the third year as reductions in fuel consumption, time in traffic, and accidents.
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Chattanooga to trial energy-saving adaptive traffic control systems - Cities Today - Connecting the world's urban leaders
The project aims to develop a dynamic adaptive traffic control system (ATCS) that reduces corridor-level fuel consumption by 20 percent.
AI-based traffic management improves mobility, saves fuel, cuts pollution -- GCN
Researchers are developing a dynamic feedback traffic signal control system that reduces corridor-level fuel consumption by 20% while maintaining a safe and efficient transportation environment.
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