Study On Video-based Traffic Congestion Identification Technology Of City Road

Traffic congestion identification technology is one of the important ways to grasp the status of city road congestion. Video processing technology can process large amount of information, and easy to install without destruction of the ground. Because of these advantages, video processing technology has good application prospects in the field of traffic congestion identification of city road. Now, existed video processing technology which generally focused on road traffic incident detection or traffic parameter extraction has acquired some good results, but it hasn't been used in the part of traffic congestion identification. Therefore, study on video-based traffic congestion identification technology of city road, from the aspect of efficiency and real-time, has important practical significance.This paper studied on the way of traffic congestion identification technology of city road based on video, including two aspects: One is the method of getting the traffic parameters by image processing, the other is the algorithm of traffic congestion identification technology.In the part of getting traffic parameters by image processing, the way of background modeling based on non-parametric kernel density algorithm was selected and the way of denoising by comparing probability was proposed. Then, Kalman filtering algorithm and the virtual test line were used to get the traffic parameters. The way of background modeling based on non-parametric kernel density algorithm has better results than other algorithm, and could model background for slow movement. The way of denoising by comparing probability can denoise caused by leaves jittering. The presented algorithm above can detect vehicle targets perfectly, and improve vehicle identification accuracy.In the part of traffic congestion identification technology, we improved the traditional fuzzy clustering algorithm. Firstly, the city road traffic congestion was made pre-identification by speed, Secondly, on the results of pre-identification, the traffic parameters weight sets were built at different traffic states. Finally, the result was getted by combining with pre-identification results, the actual identification results and historical identification results. The presented algorithm had better result and described the real traffic better, in which the traffic parameters in different traffic states have different importance and stability. Finally, the system of traffic congestion identification technology based on video was established using the video surveillance data in ChongQing. The experimental results show that this algorithm can get the traffic parameters more accurate, and the algorithm of traffic congestion identification has better sensitivity and lower percentage of two or more congestion level jumps. This system can realize the traffic congestion identification efficiently,and therefore improve the accuracy and feasibility.