Research On Traffic Choice Behavior Characteristics Under Mobile Internet Traffic Travel Information

With the improvement of China’s social and economic level,China’s economy has gradually changed from a rough economy to a tight high-tech economy,and mobile Internet technology has entered a new era.Under the effect of economy,the spiritual outlook of the city has been greatly improved,whether it is the density of road network,car quantity,total population,GDP and other factors have been improved to a certain extent.On the one hand,it improves the quality of people’s life,on the other hand,it also exacerbates the traffic problems in cities.Urban traffic congestion is a comprehensive manifestation of the contradiction between supply and demand.In today’s increasingly tight urban resources,it is particularly important to improve traffic problems from the traffic demand side.As the main body of traffic demand,residents’ travel mode,departure time and route choice not only reflect the complexity of traffic demand,but also indirectly reflect the traffic travel characteristics of a city.In order to alleviate the traffic congestion in cities,it is necessary to study the traffic choice behavior of residents before they travel.Firstly,the paper analyzes the progress of traffic choice behavior research at home and abroad,and establishes the research content and technical route by grasping the current situation.This paper analyzes the external and internal factors that affect the residents’ choice of transportation,introduces the basic theories of expectation and random utility under the influence of factor constraints,and explains the utility and uncertainty brought by a series of traffic choice behaviors before people go out.Then the paper analyzes the influence of mobile Internet information on the travel choice mechanism of residents,and establishes the dominant position of SP survey in mobile Internet by comparing and analyzing the advantages and disadvantages of RP and SP traffic survey methods.Combined with the purpose of the research,the design principles were formulated,the content framework of SP questionnaire survey was optimized,and the survey plan was refined with the framework as the guide to provide data support for the subsequent research.Combined with the analysis of travel characteristics,the upper and lower framework of the model was established,and the species relationship of each selected limb in the framework was refined.By deeply analyzing the meaning and expression form of the classical non-aggregate model,and improving on the original model,this paper proposes an improved NL model based on information entropy-dummy variable.In the process of research,the utility selection function of the model is divided into three categories: mode,time and method-time association.Through the selection and classification of various utility function model indexes,the dummy variable is assigned to optimize the unquantifiable property variables,and then the utility selection function is obtained.Aiming at the corresponding probability model,this paper proposes an idea of transforming the utility function into information entropy and then solving the probability.This method can soften the traditional calculation method,and then associate the information amount of the total utility of information with its probability,so as to achieve the function of overall travel law and individual characteristic correlation.Finally,based on the mobile Internet platform,this paper takes qixing district of guilin city as an example to carry out the relevant questionnaire survey,screen the questionnaire and make statistical analysis,calibrate the parameters of the relevant model,and then give the solution idea of the corresponding probability model.This study provides a reference basis for the systematic analysis of residents’ choice behavior before travel.