Adjacent intersection road coordinate control method based on minimum spanning tree clustering improved genetic algorithm

A technology of coordinated control of adjacent intersections, applied in the traffic control system of road vehicles, traffic control systems, instruments, etc., can solve problems such as no traffic control model

Active Publication Date: 2015-06-10
BEIJING UNIV OF TECH
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Problems solved by technology

Liu Guangping and Pei Yulong proposed a calculation method for intersection delay under unsaturated, saturated and oversaturated conditions, but only proposed a method for calculating delay with a single intersection as the research target. Like Wang Jin et al. Propose a complete traffic control model

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  • Adjacent intersection road coordinate control method based on minimum spanning tree clustering improved genetic algorithm
  • Adjacent intersection road coordinate control method based on minimum spanning tree clustering improved genetic algorithm
  • Adjacent intersection road coordinate control method based on minimum spanning tree clustering improved genetic algorithm

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Embodiment Construction

[0139] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation examples.

[0140] The present invention aims at adjacent intersections under two-phase control conditions ( figure 1 (shown) establishes the coordinated control model of the arterial road, and uses the improved genetic algorithm to optimize and solve the model, and obtains the cycle length (unity), green light timing and phase difference of the two intersections of the adjacent intersection, and then performs the arterial road control of the adjacent intersection. Coordinated control. The main flow chart of the method involved in the present invention is as follows Figure 16 shown, including the following steps:

[0141] Step 1: Carry out individual coding and set parameters.

[0142] (1) Individual code

[0143] The present invention mainly optimizes the three factors of cycle length, green light timing and phase difference in the traffi...

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Abstract

Disclosed is an adjacent intersection road coordinate control method based on a minimum spanning tree clustering improved genetic algorithm. The adjacent intersection road coordinate control method based on the minimum spanning tree clustering improved genetic algorithm comprises establishing an adjacent intersection road coordinate control model; performing individual coding and data initialization, and setting parameters; performing initialization of a population; computing the fitness values of individuals in the population; performing minimum spanning tree clustering on the population; selecting individuals in the population to participate in genetic operation; performing cross and mutation operation on the selected individuals; performing repeated iteration to obtain an optimal individual. The adjacent intersection road coordinate control method based on the minimum spanning tree clustering improved genetic algorithm takes total vehicle delay as the performance index, establishes the more perfect adjacent intersection road coordinate control model by analyzing the traffic light status before vehicle fleets pass by intersections and determining whether vehicles before the intersections are completed released during a relief period, takes the optimal genetic algorithm as an optimization algorithm, and meanwhile, takes the factors of cycle length, signal timing and phase difference as parameters to achieve optimization solution.

Description

technical field [0001] The invention belongs to the optimization problem of signal timing of adjacent intersections in urban traffic control. Firstly, a coordinated control model of adjacent intersections is established, and then the genetic algorithm based on clustering improvement is used to optimize it. It is a computer technology, Genetic algorithm, cluster analysis method and mathematical modeling method are used to realize the method of signal timing control of urban adjacent intersections. Background technique [0002] As the current urban traffic congestion is increasing day by day, the signal control of intersections is particularly important, especially for arterial intersections with large traffic volumes. Therefore, reasonable coordination and control of traffic signals at arterial intersections can effectively alleviate traffic congestion. For the signal control of arterial intersections, the traditional methods include graphical method and numerical solution me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/081
CPCG08G1/081
Inventor 杨新武王巧慧薛慧斌
Owner BEIJING UNIV OF TECH
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