Application of system monitoring and analysis of vehicle traffic on toll road

In this study an image processing based application for system monitoring and analysis of vehicles traffic on toll road was developed. The method used to detect a vehicle in the daytime is based on the background subtraction method. While to detect cars in the night condition, a new algorithm was developed using car lights features. The experimental results show that background subtraction method can achieve maximum accuration rate of 86.7%, meanwhile the method of vehicle detection at night works well with an accuracy rate of 96.3%. The applications also analyze the traffic conditions to provide information on traffic congestion state and gather statistical data of the traffic during certain periods. The application also provide notification of traffic conditions to the user which is broadcast automatically.