أحمد نضال خضير العبادي

In recent years, vehicle management systems have been expanded to include more fields and features. One important system which requires attention is the traffic congestion alert. All previous works on traffic congestion detection either need prior knowledge or lengthy time to detect and recognize the presence of congestion. Some other methods involve huge infrastructure in order to implement. The proposed system in this paper offers a novel method to detect congestion in real-time without any human supervision or any prior knowledge. The designed system counts the vehicles on road by detecting and paring the vehicles backlights from a real time captured image, whereas the system consumes shorter time and maybe feasible to be implemented at any highway premise. The experimental results show that the system has very high detection accuracy (99-100) %

Traffic congestion is a problem faced daily in modern life. Efforts to solve traffic congestions would also provide solutions to inter-related problems in social, economic, human resources, environment even involving life and death. One main factor for congestions is the increase of new vehicles used. The problem would escalate year by year. Hence the desperate need for a system that would be able to monitor the situations. One way of solving this problem is to develop a system that would be able to monitor the highway whereby information about impending congestion, i.e., images of traffic situations and their analyses which could be sent to the traffic police. This would be followed by encoding and transmitting the image via WiMAX (Worldwide Interoperability for Microwave Access) to the traffic police control room. The main goal of this work would be to design a model to assist traffic police in their work.