Real-time measurement of traffic queue parameters by using image processing techniques

The real-time measurement of traffic queue parameters are required in many traffic situations such as accident and congestion monitoring and adjusting the timings of the traffic lights. So far the reported image processing methods have been targeted for measuring simple traffic parameters. The present authors describe image processing techniques together with the results to measure the queue traffic parameters in real-time. The proposed queue detection algorithm consists of a motion detection and vehicle detection operation, both based on extracting edges of the scene. The results show that the proposed algorithms are able to measure various queue parameters such as queue detection, length of the queue, period of the occurrence of the queue, slope of the queue etc.