Intersection congestion index calculation method based on forward radar data

Abstract

The invention discloses an intersection congestion index calculation method based on forward radar data. The intersection congestion index calculation method comprises the following steps: grading intersection states according to congestion degrees; drawing a time headway actual characteristic curve, and setting a time headway threshold; drawing an actual characteristic curve of time required forgreen light full discharge, and setting a green light full discharge time threshold; carrying out intersection state primary identification; building calculation models of three states of the intersection; secondarily identifying the intersection state; and constructing intersection congestion index segmentation calculation models: a smooth state calculation model, a basic smooth state calculationmodel, a mild congestion state calculation model, a moderate congestion state calculation model and a severe congestion state calculation model. According to the method, statistics and analysis are carried out on the average headway and the time required for the intersection to be fully lined after the green light, an intersection-level congestion index segmentation calculation model is providedafter respective characteristics of the two data are fused, and the intersection-level congestion index segmentation calculation model is more suitable for the traffic state of the intersection.

Description

technical field [0001] The invention belongs to the technical field of traffic data processing, and specifically refers to a calculation method for intersection congestion index based on forward radar data. Background technique [0002] With the continuous growth of the number of urban motor vehicles, traffic congestion occurs from time to time. Timely identification of the state of the intersection is a necessary requirement for benefit evaluation and a prerequisite for intelligent control. At the same time, with the update and iteration of forward radar detection equipment, it is possible to mine more traffic parameters based on the original detection data. How to make full use of detection data to more accurately describe the traffic operation status of the intersection has become an urgent problem to be solved. [0003] The current congestion index calculation method is basically proposed for road sections, and lacks an intersection-level index evaluation. Most of the...

AI Technical Summary

Problems solved by technology

However, the existing traffic parameters in these industries may have the same value in different intersection states, and no available traffic parameters have been found to be positively or negatively correlated with the degree of intersection congestion, so it is impossible to directly use a single parameter to represent the intersection congestion index

In addition, some intersection congestion index calculation methods use the method of averaging multiple parameters. Simple average processing cannot solve the problem that the traffic parameters themselves are not positively or negatively correlated with the intersection state, and also ignores the characteristic correlation analysis of various traffic parameters.

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