One of the major problems faced by people in their daily life is traffic. An efficient management system is required to provide efficient traffic control system. Identification of particular vehicle in the traffic flow is a notable task in the traffic management system. In this research work, the authors propose an automatic traffic management system for vehicle detection and counting and automatic signals Scheduling. The camera supplies video input to the processing engine. Initially, the video will be streaming on all four roads of the traffic circle. The values will be read frame by frame in the streaming video of these roads. Camera sends all the captured input images to the processing engine and this works based on the neural network. The traffic flow shows the traffic state in fixed time interval and helps to manage and control the traffic, especially when there is a heavy traffic and will consider emergency vehicles like ambulance and fire brigades, giving them priority to go.