Oculus: AI-Powered Dynamic Traffic Signal Management System

This study presents a novel solution—an AI powered traffic management and signal monitoring system—to the growing problems caused by the growing number of vehicles and the resulting increase in traffic congestion worldwide. The frequency of heavy traffic congestion at major junctions cause a significant loss of man-hours in addition to interfering with traffic flow. Our research focuses on putting in place a smart traffic control system that uses real-time video processing techniques to evaluate traffic density because we recognize the urgent need for an effective traffic management system. Presenting a notable improvement over the current manual traffic control methods is the main goal. Our system's goal is to optimize signal timings in real time by using artificial intelligence algorithms to dynamically assess traffic circumstances. This will reduce congestion and save valuable manhours lost in traffic jams. This study marks a significant advancement in creating a more responsive and flexible traffic control system that can enhance transportation networks' effectiveness.