Monitoring of traffic using advanced Digital differential based Neural network

Traffic analysis true video monitoring is quite a complex job. The reason for the same include different appearances, light changes, and variation in speeds. This paper proposed an efficient traffic monitoring system, which can detect the vehicle flow on the roads in real time. This system has three made components including evaluating vehicle density that is based on background subtraction procedures. the second component evaluate the speed of the traffic flow using optical flow mechanism first up the third component includes evaluating the number of vehicles using improved differential approach. From the fundamental information extracted, our system can predict events such as high traffic zones, vehicles over speeding and many more. The simulation is conducted by using the traffic data set derived from Kaggle.