Research On Passenger Travel Behavior Under Multiple Bus Arrival Information Release Forms

With the rapid progress of my country’s urbanization process and the substantial improvement of national living standards,the congestion caused by traffic congestion to people’s production and life has become increasingly prominent.The intelligent transportation system adopts technologies such as car networking,big data analysis,cloud platform,and space perception to comprehensively analyze people,vehicles,and roads,which can effectively improve the level of transportation construction.This article takes passenger travel behavior as a research object,takes bus information release as a starting point,and combines the two in depth to make full use of transportation resources and effectively control passenger travel costs.Compare the departure time and travel behavior of passengers under multiple bus arrival information release forms,and based on passengers’ perceived cost analysis,dig deep into various factors that affect passenger travel choices and reveal passengers’ information release forms in different bus arrivals The following travel selection mechanism provides a theoretical basis for optimizing the intelligent public transportation release system.This article first uses a uniform design method to design the questionnaire,and uses the RP-SP survey method to assume the travel situation to obtain passenger travel time selection data,and uses SPSS software to filter the data and perform logistic regression calculations.Station timetable,real-time bus arrival time and real-time bus arrival interval released ordered multiple logit prediction model for passenger departure time,found that the usual waiting time,query information frequency,driving,arrival station mode and station waiting number are all Influencing the choice of passenger departure time;then on the basis of analyzing the choice of departure time,by constructing a bus trip information impact model on traveler’s perceived cost,a nested logit model of passenger travel decision is established to verify the rationality of the perceived cost impact model;finally adopted The method of combining exploratory factor analysis and structural equation model to explore the influencing factors and decision factors of passenger travel behavior under multiple information release modes,and using structural equation model to analyze the interaction between internal factors of travel behavior and the relationship between variables Relationship,comparing the intensityof different variables on passenger travel behavior,so as to better reveal the mechanism of public transportation information release on passenger travel behavior.Through the research in this paper,the main factors that affect passengers’ travel behavior are effectively screened,a real-time dynamic traffic information release system is established,and the passenger’s travel decision characteristics under different forms of bus information release are more thoroughly understood.The travel selection mechanism under the arrival information release form is further explained,and provides basis and technical support for perfecting the theory of intelligent public transit release and optimizing the intelligent public transit release system.