Location optimization method for intelligent roadside unit

A technology of roadside equipment and optimization methods, applied in the field of intelligent transportation systems, can solve problems such as unsatisfactory economic efficiency and waste of resources

Inactive Publication Date: 2017-10-03
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Although this deployment method satisfies the coverage and connectivity, the indicator of economy cannot be well satisfied, and there are problems such as waste of resources.

Method used

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  • Location optimization method for intelligent roadside unit
  • Location optimization method for intelligent roadside unit
  • Location optimization method for intelligent roadside unit

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Embodiment Construction

[0014] The present invention takes a certain business district in Chongqing as the research object, which includes squares, pedestrian streets, bus stations, etc., and is representative to a certain extent. First of all, we selected 140 points on the main arterial road. The selection principle is to lay RSU at intersections and important business circles as much as possible under the premise of ensuring that the area is completely radiated by RSU, and the laying density of different locations is also the same. Be the same and label it.

[0015] The original model can be simplified as the covering problem of finding the minimum point by genetic algorithm according to the weight. Model establishment: The node coverage area is generally regarded as a circle. In this model, the roadside unit is a node, assuming that its perception radius is R, d(i m , j n ) represents the roadside unit i m with RSU j n distance, for point i 1 , if for all other points j n (n∈V), where V repr...

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Abstract

The invention provides a mixed algorithm-based intelligent traffic system roadside unit deployment optimization method. A business district is selected as a research object; normalization is performed according to vehicle flow, popularity, accident rate and the like of an initial deployment point position; and calculation is performed to obtain a weight value of a deployment point. Based on an index, namely, a weight value of an initial node, modeling analysis is performed by utilizing a genetic algorithm and a greedy algorithm, and node deletion is performed to obtain an optimal deployment scheme.

Description

technical field [0001] The invention relates to the field of intelligent transportation systems, and mainly relates to an optimal deployment method of intelligent roadside equipment based on a mixture of a genetic algorithm and a greedy algorithm. Background technique [0002] As the traffic problem becomes more and more severe, the pressure on the road traffic system brought by the sharp increase of motor vehicles can no longer be relieved only by improving the road infrastructure and hardware facilities, and the problem of traffic congestion is becoming more and more prominent. In order to improve road traffic safety and control road traffic congestion, my country has carried out a series of researches on safety assisted driving, safety prevention, and traffic management. In view of the complexity of the traffic system itself, it is difficult to solve it only from the perspective of roads and vehicles. Traffic congestion and frequent accidents have been worsening in recent ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/043
Inventor 李锐师赛阔李永福罗艺
Owner CHONGQING UNIV OF POSTS & TELECOMM
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