Featured town traffic distribution prediction method

A technology of distribution prediction and traffic mode, applied in traffic flow detection, prediction, traffic control system, etc., can solve problems such as induction, and achieve the effect of simple data acquisition, high accuracy and applicability

Active Publication Date: 2018-08-17
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a newly developed area, a characteristic town not only has its own traffic volume, but also induces a part of the traffic volume due to its tourism function, so its traffic demand forecasting brings new problems and challenges

Method used

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  • Featured town traffic distribution prediction method
  • Featured town traffic distribution prediction method
  • Featured town traffic distribution prediction method

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Embodiment Construction

[0042] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0043] Combine below figure 1 Embodiments of the present invention are described. Embodiments of the present invention specifically include the following steps:

[0044] Step 1: Divide traffic areas and perform background prediction on the characteristic information of each traffic area through the system balance method to obtain the background travel volume distribution prediction model between traffic areas;

[0045] The characteristic information of each traffic district described in step 1 is:

[0046] CI j ={O j ,D j ,S j ,c jw}j∈[1,N],w∈[1,N]

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Abstract

The invention discloses a featured town traffic distribution prediction method. The method includes: dividing traffic zones, subjecting feature information of each traffic zone to background prediction through a system balance method to obtain a background trip summation distribution prediction model among the traffic zones; acquiring tourist related information through featured town local resident tourist communication intention questionnaires; establishing a trip summation distribution prediction model for tourism induced traffic from other traffic zones to featured towns; establishing a trip summation distribution prediction model for tourism induced traffic from featured towns to featured towns; calculating according to the background trip summation distribution prediction model amongthe traffic zones, the trip summation distribution prediction model for tourism induced traffic from other traffic zones to the featured towns and the trip summation distribution prediction model fortourism induced traffic from featured towns to featured towns to obtain a final traffic trip summation distribution prediction model. Compared with the prior art, the prediction method has the advantage of prediction precision improvement.

Description

technical field [0001] The invention belongs to the technical field of traffic demand and traffic distribution forecasting, and in particular relates to a traffic distribution forecasting method in a characteristic town. Background technique [0002] Characteristic towns, as an important breakthrough in accelerating the construction of new urbanization, are an important task that has been vigorously promoted from the central government to the local government in recent years. At the same time, it also ignited the participation enthusiasm of many enterprises and private capital, presenting a scene of prosperity. Different from administrative units and industrial parks in the traditional sense, a characteristic town is a spatial development platform that is relatively independent of the urban area and has a clear industrial positioning, cultural connotation, tourism and certain community functions. The organizational form of small platform big industry, small carrier big inno...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/30G08G1/0125
Inventor 朱顺应金霞彭增辉雷桂荣卢华
Owner WUHAN UNIV OF TECH
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