Application of Image Processing and Data Mining Techniques for Traffic Density Estimation and Prediction

Most of the common problems encounter by the today's world is traffic congestion. As populations as well as number of vehicles are increasing in the cities and towns, traffic congestion has become a major problem for the time being. Delays, fuel consumption and air pollutions are some of the problems arise from traffic congestion. There are many reasons for traffic congestion like narrow roads, lack of alternate route, slow traffic speed, improper uses of traffic signals etc. In this paper, we proposed a system to overcome some these problems by providing an alternate route for the vehicles by predicting a possible congestion ahead of that road.