AI - DRIVEN ADAPTIVE TRAFFIC SIGNAL OPTIMIZATION SYSTEM WITH EMERGENCY VEHICLE

The AI Enhanced Adaptive Traffic Flow Management System is able to adjust traffic signal timings based on the real-time traffic situation. The system uses computer vision and deep learning technologies, specifically YOLO (You Only Look Once) vehicle detection, in live streaming videos from traffic cameras to determine traffic volume. In order to improve traffic control effectiveness and reduce delays, the system adjusts the green signal time based on the density of cars in the monitored area. Standard traffic control systems use fixed timers for traffic lights, so the flow of traffic is not as efficient as it could be.The method adjusts the green signal period based on the number of vehicles in the monitored region to improve traffic control efficiency and reduce delays. In real time, this system gives ambulances priority for serious crises. Such vehicles are recognized by YOLO, which then promptly alters traffic lights to provide the necessary clearance for them. Better road traffic efficiency, less traffic bottlenecks, and improved urban mobility are the expected outcomes. and quicker reaction to emergencies.