Establishing method of regional passenger traffic model based on city attraction

A technology of passenger transportation and construction methods, applied in the field of traffic model research, can solve the problems of traditional backward model structure and difficulty in obtaining basic data, and achieve the effect of strong practicality and accuracy

Active Publication Date: 2019-11-05
广州市交通规划研究院有限公司
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Problems solved by technology

[0005] In view of the difficulties in obtaining basic data and the traditional backwardness of the model framework in the construction of the regional traffic model, the purpose of the present invention is to provide a method for constructing a regional passenger traffic model based on urban gravity. The present invention innovatively introduces the urban gravity model, And based on

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  • Establishing method of regional passenger traffic model based on city attraction
  • Establishing method of regional passenger traffic model based on city attraction
  • Establishing method of regional passenger traffic model based on city attraction

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Embodiment Construction

[0041]The present invention will be further described below in conjunction with specific examples, but the present invention is not limited to these specific implementations. Those skilled in the art will realize that the present invention covers all alternatives, modifications and equivalents as may be included within the scope of the claims.

[0042] The structural principle and working principle of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0043] Regional Model and City Territory Model

[0044] There are obvious differences between the regional model and the city model in terms of research objects, basic data and acquisition methods, traffic network divisions, and modeling methods, as follows:

[0045] (1) Research object: the urban area model takes the urban service population as the research object, and analyzes its travel characteristics, spatial distribution and matching with transportation facilities ...

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Abstract

The invention relates to an establishing method of a regional passenger traffic model based on city attraction. The method is a brand-new regional passenger flow predicting model establishing method where a city attraction model is innovatively introduced based on the accuracy of big data. Application practice is conducted with the Guangdong-Hong Kong-Macao Greater Bay Area as an example, in combination of the advantages of the big data, a regional model is calibrated, and then the development tendency of the Greater Bay Area is analyzed. It is shown through the practical application result that the city attraction model has high practical operability and precision in regional passenger flow interaction research and can be used for guiding the analysis work of the space passenger flow of all national regions developing at high speed at present.

Description

technical field [0001] The invention belongs to the technical field of traffic model research, and in particular relates to a method for constructing a regional passenger transport traffic model based on urban gravity. Background technique [0002] Traffic model refers to the quantitative description of the relationship between various elements of traffic phenomena and the relationship between traffic phenomena and various factors of social and economic activities. It is used for traffic analysis and traffic prediction, and is a supporting platform for quantitative analysis of urban traffic planning. Its expression form can be one or a group of mathematical expressions, charts, or a group of mathematical processing procedures, which are established by a large number of survey statistics and mathematical methods such as mathematical statistics. [0003] According to different research objects and scopes, the traffic model is divided into city domain model and regional model. ...

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Application Information

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IPC IPC(8): G08G1/00G06Q10/06G06Q50/26G06F17/18
CPCG06F17/18G06Q10/06315G06Q50/26G08G1/00
Inventor 马小毅宋程金安陈先龙刘明敏张科丁晨滋李彩霞刘新杰王譞霍佳萌吴恩泽
Owner 广州市交通规划研究院有限公司
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