Intersection signal control time period dividing method

Abstract

The invention provides an intersection signal control time period dividing method. The intersection signal control time period dividing method comprises the steps of: acquiring traffic flow data of anintersection in one day; converting the traffic flow data into traffic flow vectors, and acquiring a distance between every two adjacent traffic flow vectors; dividing a time period of a day into initial time segments based on a CUSUM time series segmentation algorithm based on big data; combining the initial time segments according to a preset manner to obtain combined time segments; adopting aclustering algorithm for classifying the combined time segments according to the distance between every two adjacent traffic flow vectors, so as to obtain the classified target time segment; and determining a signal control strategy of each segment according to the target time segment. The intersection signal control time period dividing method has low dependence on traffic information acquisition, has good reliability, can significantly improve the traffic passing capacity and effectively reduces the traffic delay.

Description

technical field [0001] The invention relates to the technical field of traffic signal control, in particular to a method for dividing time periods for signal control at intersections. Background technique [0002] With the rapid development of Intelligent Transportation System (ITS), the management of urban traffic is becoming more and more refined and digitized. The intersection of urban roads is the key to the fine management of urban traffic, and the signal control of the intersection is the most effective means of traffic management. Multi-period signal control is to divide a day into multiple time periods and use different control schemes to control signal intersections. The period division is the key technology of multi-period signal control. [0003] At present, the multi-period control period division methods at home and abroad are roughly divided into three categories: (1) manual experience division, that is, according to the traffic flow at the intersection colle...

AI Technical Summary

Problems solved by technology

[0004] The manual division method is mainly based on the subjective judgment of engineers and technicians. The division results are very subjective and one-sided, which has a great impact on the rationality of time division, and it is difficult to meet the randomness and fast-changing needs of modern urban traffic.

In the single-factor period division model, a large number of calculations are required for parameters such as period and green signal ratio, and the calculation is complicated. , it is impossible to accurately detect the difference in the flow of the two conflicting directions, and it is impossible to control it more finely

However, the multi-factor period division method overcomes the single-factor extraction object single problem.

However, too many influencing factors participate in the algorithm, not only the calculation is complicated, but also the division of time periods is too trivial, which seriously affects the control efficiency

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