Multi-dimensional track network scale prediction method based on composite variable index

A prediction method and technology of composite indicators, which are applied in the field of urban transportation planning and design, and the scale prediction of rail transit network, which can solve problems such as difficulty in use.

Pending Publication Date: 2020-11-20
SHANGHAI MUNICIPAL ENG DESIGN INST GRP
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Problems solved by technology

These four mainstream methods are relatively easy to operate, but they all have specific application conditions, and it is difficult to use the special conditions faced by the current medium-scale urban rail network. Each method has its limitations and should be combined with various methods.

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  • Multi-dimensional track network scale prediction method based on composite variable index
  • Multi-dimensional track network scale prediction method based on composite variable index
  • Multi-dimensional track network scale prediction method based on composite variable index

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Embodiment Construction

[0015] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation examples. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0016] Through the analysis of existing relatively mature forecasting methods, it can be seen that the forecasting methods are universal, but there is no difference according to the size of the city. In actual application, the difference mainly comes from the selection of parameters in the prediction method for cities of different sizes. And under different prediction results, how to choose and judge a better scale range.

[0017] The present invention studies the network scale prediction of medium-scale cities, and hopes to summarize and induce a parameter system that can be used for reference by analyzing the sample size of cities of similar scale. At the...

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Abstract

The invention discloses a multi-dimensional track network scale prediction method based on composite variable indexes. Existing track network indexes of various medium-scale cities are analyzed, variables with large correlation are selected, index correlation analysis is carried out, then composite index variables are extracted, and finally a multi-dimensional prediction model is constructed to predict the network scale. The method can optimize and guide the prediction and evaluation of the scale of the rail network in the medium-scale urban rail network planning, and provides a technical basis for the network planning.

Description

technical field [0001] The invention relates to a method for predicting the scale of a rail transit network in a medium-scale city, and belongs to the field of urban traffic planning and design methods. Background technique [0002] In the planning of urban rail transit network, a very important issue is how to rationally plan the urban rail transit network from a macro perspective according to the current situation of the city and its development plan, the traffic demand of the city, and the development level of the urban economy. scale. A reasonable-scale urban rail transit network can not only fully meet the city's growing traffic needs, improve the level of public transport services, but also achieve the best economic benefits with a small investment. [0003] The so-called reasonable scale actually refers to the reasonable supply level of urban rail transit. Since traffic demand and traffic supply are a dynamic balancing process, a reasonable scale is also relative. ...

Claims

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Application Information

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IPC IPC(8): G06F30/18G06Q10/04
CPCG06Q10/04G06F30/18
Inventor 黄璇孙重静
Owner SHANGHAI MUNICIPAL ENG DESIGN INST GRP
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