A robust detection method of vehicle queue and dissipation during evening rush hour

By vehicle presence detection and movement analysis on the monitored region based on video processing technology, a real-time robust detection method of vehicle queue and dissipation is proposed in this paper. With a duplex flexible window fused with the Haar feature based AdaBoost cascade classifiers, the method can efficiently track the position changes of the tail and head of a vehicle queue at intersection during evening rush hour, which accurately describes the formation and dissipation of the queue. Then, the queue length and stop delay of vehicles can be calculated. Experiments showed that our method can real-time track the formation and dissipation of the queue during the evening rush hour when the illumination varies greatly from light to dark, and that the accuracy rate is about 91.54%. Therefore, this method can be further applied to traffic congestion monitoring and traffic signal controlling.