Control system for urban traffic light network

Abstract

This study focuses on developing and implementing IoT technologies to modernize traffic light systems in urban environments. The objective is to reduce traffic congestion, minimize environmental impact, and improve road safety. By integrating IoT-based adaptive traffic light control and data analytics, the proposed system adjusts signal phases in real time, allowing for a more responsive approach to traffic flow. Experimental modeling demonstrates substantial improvements in vehicle throughput and reductions in wait times, illustrating the potential of smart traffic light systems to transform urban mobility