A Fast Method to Identify Signalized Intersections’ Operational Conditions Based on Floating Car Data

Considering there are thousands of signalized intersections in Shanghai, it is necessary to find a rapid calculation indicator to evaluate the intersections’ operational condition and select intersections with large improvement space for traffic management departments. Based on the large number of floating car data, stop rates were calculated for 144 signalized intersections in Shanghai according to the travel speed. Meanwhile, signalized intersections’ traffic, geometric, traffic control, as well as location characteristics were also collected. A generalized linear model has been developed to analyze the relationship between these characteristics and the intersections’ stop rates. The results indicate that: larger traffic volume, less main road lanes, more secondary road lanes, the set of left turn lanes, separating motor from non-motor in the main road, and a once crossing facility for pedestrians would contribute to a larger intersection stop rate.