Key path searching method of signal control crossing group

Abstract

The invention discloses a key path searching method of a signal control crossing group. The method comprises the following steps that (1) data of all roads and crossings of the crossing group is obtained; (2) an origin-destination discreteness associated index I1 of each of different paths of the crossing group is calculated according to the data; (3) an obstruction associated index I2 of each of the different roads of the crossing group is calculated; and (4) I, as a total association index of one path, is set to equal the sum of I1 and alpha*the mean of I2 of all the roads of the path, a population algorithm is used to search the paths of the crossing group, and the path whose I is highest is selected as a key path. According to the invention, fine tuning is carried out on a path association degree model, the path of the highest association degree is searched for, it is not required to traverse all the paths, the computing amount is reduced greatly, operation time of a time-space resource coordination optimization system of the whole signal control crossing group is reduced, the timeliness and effectiveness of coordination control are improved, and the crossing group that can processed can be in a larger scale.

Description

technical field [0001] The invention relates to the field of traffic signal control, in particular to a method for finding a key path of a signal-controlled intersection group. Background technique [0002] Most of the intersections on the arterial roads of the urban road network in my country are signal-controlled intersections, and single-point signal control is carried out respectively. Vehicles frequently stop at intersections during single-point signal control, which leads to traffic problems such as inefficient road network operation and increased travel delays. In order to reduce the parking time of vehicles at each intersection, the time-space resource optimization system of intersection group monitors the traffic volume in real time, and coordinates and controls multiple intersections as a whole to reduce the congestion of intersection groups. [0003] The existing coordination control system of intersection group is divided into five parts, including five steps of...

AI Technical Summary

Problems solved by technology

Among them, in the model adopted by the critical path search module, the calculation of the path correlation degree has a dimensionless step, so that the calculation of the correlation degree of each path depends on the extreme value of all path blocking correlation degrees and discrete correlation degrees. All paths at the intersection are unavoidable, which makes the calculation of this module take a lot of time, often reaching several minutes. The traffic flow has changed during this period, which weakens the real-time performance of the entire coordinated control system and affects the adjustment effect

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