Enhancing Traffic Flow Using Computer Vision Based - Dynamic Traffic Light Control and Lane Management

Traffic congestion is a persistent problem in many metropolises worldwide. Despite the existence of traffic control systems, they are not always efficient enough to manage ever-changing density environment. The traditional approach allocating specific times each lane with green light, regardless situation, has been very effective. In fact, it often can make worse. Thus, need for more sophisticated system emerged simulate and optimize control. This paper proposes use computer vision technology develop that based on periodic still photo feeds compares different object detection models find best model vehicle our . aims enhance flow by dynamically adjusting light cycles real-time conditions.