A data-driven intersection signal control evaluation system

Abstract

The invention relates to a data-driven intersection signal control evaluation system, comprising: a data source for storing intersection information, road network information connected to the intersection, and providing query; a trajectory acquisition module for collecting vehicles at the intersection trajectory data; the single-point evaluation module is connected with the data source and the trajectory acquisition module respectively, and is used to calculate and display the green light utilization rate, average vehicle delay and maximum queue length based on road network information and trajectory data; the trunk line evaluation module is connected with the data The source is connected to the trajectory acquisition module, which is used to calculate and display the traffic concentration and green light arrival rate based on road network information and trajectory data. Compared with the prior art, the present invention provides a system that can respectively display single-point evaluation information and trunk line evaluation data, and can optimize cross control signals.

Description

technical field [0001] The invention relates to the research field of intersection signal control, in particular to a data-driven intersection signal control evaluation system. Background technique [0002] Intersection is the bottleneck of urban traffic operation, and it is also the problem that causes traffic interruption, increased accidents, and serious delays. Effective intersection signal control can help reduce traffic delays and improve traffic operation efficiency. At present, the evaluation and optimization of signal control at intersections in domestic cities are generally directly evaluated with indicators such as delay, queuing length, and saturation. The evaluation results reflect the traffic status or operation effect of the intersection, and cannot reflect the signal control scheme. real level and its optimization potential. Secondly, most of the current evaluation and optimization work is based on manual calculation or empirical judgment. With the increasin...

AI Technical Summary

Problems solved by technology

At present, the evaluation and optimization of signal control at intersections in domestic cities are generally directly evaluated with indicators such as delay, queuing length, and saturation. The evaluation results reflect the traffic status or operation effect of the intersection, and cannot reflect the signal control scheme. The true level of and its optimization potential

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