Research On Evolution Of Route Choice Behavior Considering Driver’s Individual Preference

In recent years,the penetration rate of smartphones has increased rapidly,and the intervention of traffic participants from mobile phone navigation guidance information has also continued to increase.The driver’s feedback on the guidance information changes with the learning process,and finally manifests in the driver’s path selection behavior.Therefore,as the focus and hotspot of route selection behavior research,under the influence of mobile phone navigation,it is of great theoretical significance to analyze how drivers form cognition of traffic guidance information and their learning mechanism,and thus influence their route selection behavior.On this basis,it is possible to formulate more efficient traffic guidance strategies by exploring the effects of different guidance strategies on urban road network traffic efficiency.First,the SP questionnaire was designed to obtain the driver’s propensity behavior in Xi’an route selection.A preliminary analysis of the similarities and differences in the three aspects of the driver’s individual attributes,road and traffic attributes,and travel attributes in the survey results shows that the driver’s path selection behavior shows different tendencies.After that,based on the latent category model,the drivers are classified according to the results of the questionnaire survey.After screening variables,model fitting and model accuracy verification,drivers are divided into three categories.By analyzing the correlation strength and conditional probability of each variable,the path selection tendency characteristics of drivers of each category are summarized.Third,introduce two types of preferences: indifference threshold(time preference)and induced information trust(preference for information publishing content),establish an updated model of induced information trust,analyze the feedback mechanism of individual preference in path selection behavior,and establish an The preferred path selection learning behavior model.Finally,a traffic guidance strategy based on individual preferences is designed,and the traffic system efficiency of the guidance strategy is studied through MATLAB simulation.Analysis of traffic guidance based on individual preferences and two types of traffic guidance strategies without considering indifferent thresholds Changes in simulation days increase and indifference threshold increase.Comparing the simulation results of the two strategies,the differences between the saturation of the main road sections and the total travel time of the road network are analyzed.The results show that the individual’s preferred traffic guidance strategy can optimize the allocation of traffic resources,divide traffic pressure evenly,and improve travel efficiency.