Real-Time Area-Based Traffic Density Calculation Using Image Processing for Smart Traffic System

Abstract

AbstractTraffic is one major problem in metropolitan cities and capital cities of all the states. As more people moving to the cities, the number of vehicles on the road is increasing rapidly. The traffic signals controlled by the traffic police manually have not proved to be efficient. Also the static predefined set time for traffic signals at all conditions whether the traffic density is heavy or low has not solved this problem. One solution for this problem is to develop a smart traffic management system which works by calculating the density of the vehicles on the road using real time video processing technique. We have used Mixture of Gaussian (MoG) algorithm for background subtraction technique and foreground detection, then generated capacity maps using which we found the density of traffic at that particular instant. The traffic lights at junctions are controlled dynamically based on the traffic density detected from the video feeds.KeywordsImage processingMixture of GaussianSmart traffic systemTraffic density