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Queuing theory-based continuous traffic node congestion degree prediction model, system and method

A technology of congestion level and prediction model, applied in the field of intelligent transportation system, which can solve the problem of unpredictable traffic congestion.

Active Publication Date: 2017-06-23
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In the existing literature, researchers have proposed many models to alleviate traffic congestion, but many solutions are static
These static solutions are only to analyze and evaluate the traffic system, rather than to dynamically dispatch the traffic system, and traffic congestion cannot be predicted

Method used

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039] 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.

[0040]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 combination...

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Abstract

The present invention discloses a queuing theory-based continuous traffic node congestion degree prediction model, a system and a method. The model comprises a plurality of continuous traffic nodes. The length distribution of queues is adopted as an index for evaluating the traffic node congestion condition. The queue length distribution of each traffic node is constructed based on the queuing theory and the flow of the self-similarity. According to the invention, the method is directed to the prediction of the continuous traffic node congestion degree. Based on the method, firstly, the traffic congestion degree of each single node is predicted based on the flow that reaches the above single traffic node. Secondly, the traffic congestion degrees of multiple continuous traffic nodes connected with a current traffic node are predicted according to the flow of the current traffic node. Therefore, the traffic system is reasonably adjusted by related government departments according to the congestion degree information of the system.

Description

technical field [0001] The invention belongs to the field of intelligent traffic systems, and in particular relates to a queuing theory-based continuous traffic node congestion degree prediction model, system and method. Background technique [0002] At present, with the development of economy and the growth of population, the problem of traffic congestion is becoming more and more serious in cities. Traffic congestion has brought about a series of problems in economic, social and ecological aspects, resulting in serious losses in these aspects. Many countries have begun to vigorously develop public transport based on urban public transport, but they still cannot solve the common problems of traffic accidents, traffic congestion, and traffic pollution. So countries began to look for solutions, one of the important research direction is intelligent transportation system (ITS). Intelligent transportation system is the effective comprehensive application of advanced science a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G08G1/0129G08G1/0133
Inventor 郭伟郑栋宇刘磊崔立真
Owner SHANDONG UNIV
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