Intelligent Traffic Control Using Image Processing

Abstract

Nowadays, the number of road users constantly increases; vehicle population also increased to an extreme level. So the traffic problem causes major time delay and more issues. So, we are in need to find better solution for traffic control. There are several types of traffic control system; we focus on optimization of traffic light controller in a city using image processing. To overcome this problem, this proposed system contains camera and microcontroller to process image and measures density of traffic and the traffic controller changes signal timing automatically based on the traffic density at junction and the cameras are mounted on roadside respectively. This project is to design a density based dynamic traffic control system. The number of vehicles passing on road is get counted by microcontroller. The microcontroller takes decision based on different vehicles count, and updates the traffic light delays as a result. The traffic light is situated at a certain distance away from the camera system. In the proposed system, we measure the traffic density using image processing by MATLAB and ARM processor to control the traffic signal.