The real-time queue length on signalized intersections is an important parameter for traffic control and management. Based on the analysis of a traffic flow's shockwave profile at the approaches of signalized intersections, a model is built up to detect the real-time queue length based on RFID detector data. Variations of the estimation model are also presented under different traffic volumes, and the relationship between queue length and the capacity of the approach is also considered. A field experiment using RFID Detector Data was conducted at an intersection in Nanjing. The results of the field experiment demonstrate that the proposed models can estimate the real-time queue length with satisfactory accuracy.
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