Human travel selection information mining method based on traffic travel data

A technology for transportation and information selection, applied in the fields of mathematical modeling and information mining, can solve the problems of multiple manpower and material resources, high cost, and time-consuming, and achieve the effect of low data cost, high accuracy, and fast timeliness

Active Publication Date: 2020-02-25
BEIJING NORMAL UNIVERSITY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional method is to use questionnaires, but this method has some significant disadvantages. First, the cost is high, and it will consume a lot of manpower and material resources to conduct interviews and ask respondents to fill out the questionnaires; second, it is time-consuming. The distr

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  • Human travel selection information mining method based on traffic travel data
  • Human travel selection information mining method based on traffic travel data
  • Human travel selection information mining method based on traffic travel data

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Embodiment Construction

[0037] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing, and the technical scheme of the present invention is described in detail with the automobile travel data of three kinds of modes of walking, automobile and airplane and a certain city as example:

[0038] The idea of ​​the present invention is to establish a multi-vehicle selection model based on individual utility and selection optimization theory, and then obtain the parameter estimation results of the model in a non-linear fitting manner in combination with the automobile travel data of a specific city, region or country. Finally, it is necessary to explain and apply the actual meaning of the parameters.

[0039] The basic process of the inventive method is as figure 1 As shown, it specifically includes the following steps:

[0040] Step 1. Build a general transportation choice model

[0041] A traffic selection model is established based on the utilit...

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Abstract

The invention discloses a human travel selection information mining method based on travel data. The method mainly comprises the steps of proposing a universal traffic selection model considering individual utility optimization, and a parameter estimation and analysis method corresponding to the model. Based on a traffic selection model, easily obtained traffic travel data such as automobiles andthe like are utilized, a nonlinear fitting method is adopted, parameters are estimated, and the distribution situation of overall travel requirements of human beings and selection characteristics of vehicles such as walking vehicles, automobiles, airplanes and the like are disclosed. The analysis result can be used for comparison between cities and countries, and can also be used for planning urban and national traffic facilities. By adopting the information mining method, the problems of high cost and low credibility of large-scale investigation on crowds can be effectively avoided.

Description

technical field [0001] The invention belongs to mathematical modeling and information mining, and excavates some characteristics of the overall demand of human travel and travel selection from some easily obtained data of a certain type of travel. The specific method involves database technology, parameter estimation, nonlinear fitting and so on. Background technique [0002] The exploration of the laws of human behavior has long been the research direction of scholars in various disciplines such as nature, economy, and society. Human activities in the real world are based on a certain space, and the movement of this space is called travel. Human travel is one of many human behaviors, which is closely related to all aspects of human society, economy, and politics. Understanding the rules and characteristics of human travel is helpful to understand human activity patterns, plan urban structure and development, explore interactive design methods for unmanned vehicles, study ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/02G06Q50/30
CPCG06Q10/067G06Q30/0201G06Q50/30Y04S10/50
Inventor 陈清华王明燕梁夏宇涵狄增如王友广
Owner BEIJING NORMAL UNIVERSITY
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