Smart Traffic Congestion Control System

Traffic congestion is one of the basic problems of any urbanized areas. The main problems are the increase in the number of vehicles, lack of road infrastructure and issues in traffic signals. In this paper, we propose a system to solve one of the issues in traffic congestion. The proposed system focuses on controlling the green light signal at four-way junctions during peak hours and non-peak hours. An image processing technique using MATLAB is used for finding the density of the vehicles and count of the vehicles in the junction. Each junction is installed with cameras and the real-time videos are captured every ten seconds. Using MATLAB videos are converted to frames and further image processing techniques are used for calculating the density of the vehicle and giving a proper time slot for controlling the green and red signals. Experimental setup produces an accuracy of 90-93% in identifying the vehicle density.