Abstract
Intelligent traffic light systems are becoming an important application in traffic coordination. Artificial intelligence with deep learning models effectively recognizes vehicles participating in traffic from extracted images or real-time videos with high speed and accuracy. This paper presents an intelligent traffic light system based on real-time image analysis using the YOLOv8 artificial intelligence method to determine the density of vehicles participating in traffic at intersections. Consequently, the system automatically controls the timing of the traffic lights on the roads to align with the actual traffic flow. Through this method, the operation of traffic lights is continuously adjusted, ensuring efficient and safe traffic flow.
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