AI based Traffic Management System

Urban traffic congestion is an escalating problem driven by increasing vehicle numbers and outdatedtraffic management systems. Traditional methods lack flexibility, leading to prolonged delays, increasedfuel consumption, and higher pollution levels. This paper introduces an AI-driven adaptive trafficmanagement system leveraging real-time data, machine learning, and predictive analytics to optimize trafficflow. The proposed system uses real-time traffic monitoring and dynamic signal control to reducecongestion, minimize emissions, and improve road efficiency, contributing to a sustainable transportationecosystem.