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Adaptive Traffic Signals Get The Green Light In Pittsburgh
Local economy set to save by pioneering an efficient traffic solution
By RBR Staff


In robotics, the most cost-efficient systems offer the most practical answers to real-world problems. Carnegie Mellon University (CMU) has touched on one city-saving solution: a robotic traffic light system that could solve Pittsburgh’s congestion issues and relieve the city’s police force from traffic duty, permanently. With the help of cameras, which sense traffic volume at each intersection, the new lights make second-by-second calibrations to accommodate traffic flow, even in construction zones, and are set for citywide deployment within five years.

Combining concepts from the fields of artificial intelligence and traffic theory, the CMU team first developed technology to allow traffic signals to communicate with one another…

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