Traffic Density Analysis Using Canny Edge Detection Algorithm

Abstract

Traffic monitoring and controlling has always been a challenge. The vehicular traffic is increased exponentially that causes traffic congestion and road accidents . Improved traffic density estimation would help to curb the traffic before it becomes critical problem. The proposed image processing based traffic density analysis system reads a video captured by web cam and background subtraction would be applied on the converted frames. This process would lead us to get a binary image which would be processed for vehicle detection and further analysis. The software required is OpenCV. The hardware required is Arduino, USB web camera, traffic light module, etc. The existing system is inefficient for the humongous traffic currently present on the roads and the non-linear behaviour of the traffic cannot be completely analysed. In the proposed system the moving objects or vehicles are distinguished and hence vehicles would be detected easily. It can also reduce the traffic congestion rate.