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.