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Method and system for dynamic identification of road network congestion areas based on community discovery

A technology of dynamic identification and community discovery, applied in the traffic control system, transmission system, traffic control system of road vehicles, etc., can solve problems such as the inability to effectively describe the dynamic process of congestion, accurately interpret the mechanism of urban traffic congestion, and the level of stop representation. Achieve good dynamic recognition effect, break through limitations, and achieve remarkable results

Active Publication Date: 2020-08-04
SHANDONG JIAOTONG UNIV
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Problems solved by technology

[0004] The above-mentioned patent documents are respectively related to the construction of traffic congestion state indicators, traffic congestion identification at local locations, and acquisition of regional congestion period information. However, these studies still remain at the level of representation of congestion state, and cannot effectively describe the dynamic process of congestion generation. , Accurately interpret the congestion mechanism of urban traffic, and provide strong support for the dynamic implementation of subsequent congestion control strategies

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  • Method and system for dynamic identification of road network congestion areas based on community discovery
  • Method and system for dynamic identification of road network congestion areas based on community discovery
  • Method and system for dynamic identification of road network congestion areas based on community discovery

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[0045] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0046] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0047] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinati...

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Abstract

This disclosure provides a method and system for dynamic identification of road network congestion areas based on community discovery, constructing a dynamic network topology model for urban road networks; searching for congestion sources in the road network; and describing congestion with the goal of minimizing congestion heterogeneity Diffusion of regions, and extract community structures; merge overlapping community structures in the road network; finally determine the boundaries of congested areas, and realize dynamic identification of congested areas under different levels of congestion. The disclosure can effectively use the rich traffic state information provided by the bayonet data source, dig out the spatio-temporal change law of traffic congestion, that is, the whole process of congestion occurrence, diffusion and dissipation, and realize the dynamic extraction of the range of congestion areas under different congestion levels.

Description

technical field [0001] The present disclosure relates to a method and system for dynamically identifying road network congestion areas based on community discovery. Background technique [0002] At present, traffic congestion exists in some areas, especially in large and medium-sized cities, and even overall traffic congestion occurs frequently, which has become the normal state of traffic in major cities. Conventional regional traffic control strategies mostly use static traffic control sub-area division, lack of analysis of the temporal and spatial dynamic characteristics of traffic flow, and are difficult to support time-varying traffic congestion control decisions. Therefore, based on massive dynamic traffic data, it is particularly important to deeply analyze the evolution mechanism of road network traffic status and study the dynamic extraction method of urban road network congestion areas. [0003] At present, there are various research methods for studying the dynam...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/07H04L12/24G06K9/62
CPCH04L41/12H04L41/145G08G1/012G08G1/07G06F18/23213
Inventor 郭亚娟刘思昊张萌萌王以龙陆洪岩
Owner SHANDONG JIAOTONG UNIV
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