An information mining method for human travel choices based on traffic travel data
A technology for selecting information and traffic travel, applied in the field of mathematical modeling and information mining, it can solve problems such as time-consuming, high cost, multi-manpower and material resources, and achieve the effect of fast timeliness, high accuracy and low data cost
Active Publication Date: 2022-04-29
BEIJING NORMAL UNIVERSITY +1
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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 distribution and recovery of questionnaires are often characterized by low efficiency; third, the degree of reliability is low, because the collection of personal travel information is difficult to be precise and accurate due to inaccurate memory and intentional or unintentional concealment by individuals
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[0037] The technical scheme of the invention is described in detail below in combination with the accompanying drawings, taking three modes of transportation of walking, automobile and aircraft and the automobile travel data of a city as an example:
[0038] The idea of the invention is to establish a multi vehicle selection model based on individual utility and selection optimization theory, and then combine the vehicle travel data of a specific city, region or country to obtain the parameter estimation result of the model by nonlinear fitting. Finally, the actual meaning of parameters should be explained and applied.
[0039] The basic flow of the method of the invention is as follows: Figure 1 As shown in, including the following steps:
[0040] Step 1 Establish a general traffic selection model
[0041] Based on the utility of different means of transportation to individuals and the optimal selection of individuals under a certain distance, a traffic selection model is establi...
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The invention discloses a human travel selection information mining method based on traffic travel data, which mainly includes proposing a general traffic selection model considering individual utility optimization, and a parameter estimation and analysis method corresponding to the model. Based on the transportation choice model, using the easily obtained traffic data such as automobiles, the non-linear fitting method is used to estimate the parameters and reveal the distribution of the overall human travel needs and the selection characteristics of walking, automobiles and airplanes. The analysis results can be used for comparison between cities and countries, as well as for the planning of urban and national transportation facilities. Adopting this information mining method can effectively avoid the high cost and low reliability problems of large-scale surveys on the population.
Description
technical field [0001] The invention belongs to mathematical modeling and information mining, and excavates some characteristics of human travel overall demand and travel selection from some easily obtained travel data. The specific methods involve database technology, parameter estimation, nonlinear fitting and so on. Background technology [0002] The exploration of the law of human behavior has long been the research direction of scholars in the fields of nature, economy, society and other disciplines. Human activities in the real world are based on a certain space, which 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 laws and characteristics of human travel is helpful to understand the mode of human activities, plan the urban structure and development, explore the interactive design method of driverless vehicles, study human health problems, develop road selection...
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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