Human travel selection information mining method based on traffic travel data

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 ...

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 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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