Evaluation And Analysis Method Of Traffic Route Guidance Based On Mobile Internet Environment

With the development of mobile internet,the ways people choose transportation modes and travel routes have gradually changed.People increasingly rely on real-time traffic information and travel services provided by mobile internet,which makes the behavior of choosing transportation routes in the mobile internet environment more complex and diversified.Therefore,researching how to induce reasonable transportation route selection behavior in the mobile internet environment has important theoretical and practical significance.This article is divided into three parts.The first part of this study analyzed the traffic route selection behavior in the context of mobile internet.Firstly,the study explored the influence of driver individual attributes,road traffic attributes,and travel attributes on route selection behavior,and analyzed the manifestation of driver individual characteristics to interpret the sensitivity of different influencing factors.Based on the determination of influencing factors,a survey questionnaire was designed to collect drivers’ route preference in different scenarios.Through preliminary statistical analysis of the survey data,the study further explored the influence of various factors on people’s travel route selection,and provided important theoretical support and empirical data for subsequent research.The second part of the study conducted an evaluation of travel route selection based on mixed logit and cumulative prospect theory.Starting from individual needs,the uncertainty and preference changes of travelers’ route selection were considered.The model combined the mixed logit model with cumulative prospect theory,considering people’s risk attitudes and decision-making methods in different contexts,which can more accurately predict and induce people’s travel route selection behavior.In addressing the issue of inducing transportation route selection behavior in the mobile internet environment,the mixed logit model can more accurately reflect travelers’ choice behavior,while cumulative prospect theory can explain travelers’ decision-making processes and psychological mechanisms,considering the uncertainty decision-making behavior and psychological factors of travelers to evaluate the induced travel routes for individual needs.Through simulation experiments on the model,it was demonstrated that the model can effectively predict travelers’ travel route selection behavior and improve the efficiency and safety of transportation.The third part of this study focused on evaluating travel route choices based on grey analysis method.The study considered overall travel demand and the efficiency of the transportation system.Grey analysis method was used to analyze these factors and a travel route selection model based on grey analysis was established.This model helps decision-makers better understand travelers’ travel route choices and optimize travel route selection strategies.From the perspective of overall travel demand and system optimality,grey correlation analysis method was used to analyze the impact of various factors on travel route selection,and the optimal travel route was identified.Through the grey correlation analysis model for travel route selection,researchers were able to analyze and compare the advantages and disadvantages of different travel routes,providing a scientific basis for travel route selection for transportation management agencies and users.In summary,this study evaluated and analyzed the induced travel routes in the context of mobile internet from both individual and group perspectives using different methods.The research results can provide a scientific basis for transportation management departments to induce travel routes,and also provide new ideas and methods for studying travel route selection behavior in the context of mobile internet.