IoT-Enabled Intelligent Traffic Control System with Real-Time Congestion Management and Road Safety using Python and OpenCV

The Internet of Things has become more significant in many fields. Traffic control and road safety are the most important areas for both the public's safety and the appropriate operation of vehicles on the road. These Internet of Things (IoT) devices are designed to help humans with usage because human power is limited. As these data are used increasingly often to prevent traffic accidents, a reliability issue develops. In order to provide the highest level of safety possible for road safety and traffic management, we address in this paper “IoT-Enabled Intelligent Traffic Control System” aims to solve traffic congestion through an innovative approach. The proposed traffic management system through the Internet of Things dynamically adjusts traffic signal lights based on real-time data. Optimizing signal timings enhances the traffic flow, reduces waiting and halt times, and improves overall road safety. The report outlines the system's design, implementation, and testing methodology, emphasizing the potential impact of IoT-driven automation in urban transportation management.