In-Travel Guidance Method Based On Multiple Traffic Information

China’s traffic big data system is constantly improving,and traffic management data such as road traffic and public transportation have become an important part of my country’s government data resource reserve.How to make good use of this traffic data resource and integrate it into an advanced traffic management system is one of the ways to alleviate urban traffic congestion in the future.Whether travelers can use multiple traffic information to improve and optimize their travel paths and travel modes during travel is of great practical significance for optimizing the distribution of urban traffic flow and travel structure,thereby alleviating urban traffic congestion.This article first starts with the analysis of the characteristics of the travel decisionmaking process,and studies the relevant factors that affect travel behavior and traveler’s choice behavior,so as to analyze the traveler’s decision-making process under the influence of multiple traffic information.Then,through a random survey in Guilin City,the focus is on the analysis of information preferences and travel decision-making characteristics under multiple traffic information.Secondly,in order to study the mechanism of travel route reconstruction under the influence of multiple traffic information,the paper established a structural equation model of traveler’s travel choice under multiple traffic information,combined with Amos software,and used the maximum likelihood estimation method to solve the structural equation model.The fitting results of the structural model show that the individual differences and travel differences between travelers cause travelers to prefer different traffic information and also have different travel choice behaviors.Then,based on the analysis of the decision-making process of travel based on multiple traffic information,the dynamic choice of travelers based on the multi-stage decision-making theory based on the multi-stage decision-making theory in the real-time traffic environment is modeled during travel,and the travel under the action of real-time changing information is simulated.The dynamic selection behavior of the traveler explains the travel route reconstruction mechanism of decision-making during travel.Then,by analyzing the negative effects brought by travelers’ pursuit of individual optimality under multiple traffic information,the game process between individual optimality and group optimality of traffic flow is discussed.Finally,based on the information needs of travelers and managers in the information environment,a travel guidance method based on the content of information release is proposed,as well as suggestions for the construction of a multi-information guidance system.This paper takes travelers’ information preferences and choice preferences as the research objects,analyzes the relevant factors that affect travelers’ decision-making by constructing a structural equation model,and then establishes a dynamic choice model during travel,and uses multi-stage decision-making theory to simulate travel in a real-time information environment.The medium dynamic selection process provides a basis for the in-travel guidance method under multiple traffic information,and has a certain practical guiding role for the construction of a reasonable traffic guidance system.