Signal intersection assessing method based on entropy weight method

Abstract

The invention discloses a signal intersection assessing method based on an entropy weight method. The signal intersection assessing method based on the entropy weight method comprises the following steps of: obtaining intersection static information by a manual investigation method, and obtaining vehicle dynamic information by a video analysis method; calculating the saturation flow at the intersection entrance lane, the intersection saturation at the intersection signal period, the intersection delay at the intersection signal period, and the intersection queue length at the intersection signal period; and calculating a comprehensive score of the intersection, and assessing the service level of the intersection based on the comprehensive score of the intersection. The signal intersectionassessing method based on the entropy weight method uses intersection traffic data and the entropy weight method to scientifically and reasonably assess the service state of the signal intersection, and improves the accuracy and timeliness of the assessing result.

Description

technical field [0001] The invention belongs to the technical field of evaluation of urban signalized intersections, and in particular relates to an evaluation method for signalized intersections based on an entropy weight method. Background technique [0002] A signalized intersection is a complex comprehensive traffic system formed by the interaction, influence and restriction of various factors. Due to the rapid growth of traffic volume, more and more intersections have highlighted the bottleneck effect of urban traffic, and the smoothness of intersections plays a key role in the operation efficiency of the entire road network. [0003] At this stage, a single index is mostly used to evaluate the service status of signalized intersections qualitatively, and there is a lack of quantitative evaluation of signalized intersections by comprehensive evaluation indicators of traffic status at multiple intersections, resulting in inaccurate evaluation results of traffic status an...

AI Technical Summary

Problems solved by technology

[0003] At this stage, a single index is mostly used to evaluate the service status of signalized intersections qualitatively, and there is a lack of quantitative evaluation of signalized intersections by comprehensive evaluation indicators of traffic status at multiple intersections, resulting in inaccurate evaluation results of traffic status and unclear boundaries; There is a lack of consideration of intersection differences and time differences when evaluating intersections. For example, the weights of each evaluation index in the evaluation system of different intersections are different, and the service status of the same intersection is different during peak hours and peak hours.

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