Junction Monitoring System for Emergency Vehicles and Density control Using Image processing

Abstract

In today’s world, everyone is confronted with one of the most important challenges of traffic congestion, which affects almost all major cities. The main cause of increased traffic bottlenecks is a large number of vehicles on the road and insufficient infrastructure. With the help of current traffic lights, it is essential to successfully regulate traffic flow. Because most traffic signals have a predetermined green light sequence, the green light sequence is established without regard for the presence of emergency vehicles. As a result, emergency vehicles such as ambulances, police cars, fire engines, and other emergency vehicles become trapped in traffic and are delayed in arriving at their destination. The goal of this project is to regulate traffic by determining traffic density on each side of the road and enabling a controlling option; in the event that an emergency vehicle arrives, its direction is determined from its siren signal, and the signals are enabled. The image was shot by the traffic junction’s camera when it was free, and it serves as the reference image. The camera continuously captures real-time images of the traffic intersection. The microcontroller, on the other hand, generates the difference frame by comparing the real-time image to the reference image and calculating traffic density using Digital Image Processing algorithms. The density data is transferred to the server, and traffic lights are managed in accordance with it. When an emergency vehicle is recognized, traffic light sequences are automatically activated in such a way that a green signal is given in the direction where the vehicle is detected, and normal operation is assumed once it has passed through the signal.