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With the continuous integration of new technologies and the transportation industry, the high-precision spatial-temporal trajectory data of motor vehicles obtained by traffic data collection technologies such as Radar Vision Integration and Holographic Perception contains abundant traffic state information, which provides solutions for traffic state cognition and active traffic management. This paper aims to realize the continuous perception of the multi-level operation state of the intersection by using the high-precision spatial-temporal trajectory data, so as to provide the basis for the low latency optimization control of the intersection. This paper proposes about extracting indicators of control delay, queue length, and number of stops of intersection based on highly precise map and trajectory data. The distribution characteristics of traffic operation parameters extracted by the algorithm are analyzed. The analysis results show that the calculation results of the indicator extraction algorithm in this paper are in accordance with the time-varying characteristics of traffic demand at the intersection and the spatiotemporal characteristics of intersection signal control scheme and channelization scheme. Taking the intersection of Jintong East Road and Guanghua Road in Beijing as an example, using the evaluation method in this paper and the simulation evaluation method based on VISSIM, the evaluation indicators are extracted and the evaluation grade of operation index is output from the four periods of trajectory data. Through the comparative analysis of the evaluation results of the two methods, the feasibility and validity of the evaluation method in this paper are verified.
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