Study On The Driver’s Propensity Adapted To Vehicle Safety Warning System

With the rapid development of the economy and the increase of vehicles,the problems among human,vehicle and environment are serious in road traffic system.Driver is one of the main factors causing traffic accidents,and vehicle,road and environment influence traffic safety through driver.Driver’s physiological and psychological characteristics are related to traffic safety closely;among them the psychology based on physiology is an important factor influencing driver’s behavior.The characteristics include gender,age,driving experience,personality,driving propensity.The differences between driver’s behaviors are attributed usually to the driver’s propensity.Therefore,the influence of drivers’ physiological and psychological characteristics on traffic safety is represented greatly as driver’s propensity.In order to study driver’s propensity,qualitative research and quantitative research on the physiological and psychological parameters are given through designing the related experiments,including questionnaires,obsevations,driving simulation experiment and real vehicle test,then the mian factors influencing driving propensity are obtained.According to the contribution rate of each main factor,the predition model of driver’s propensity based on Structural Equation Model is established,and then driver’s propensity types can be divided with the prediction results.Validation results show that the prediction method in this paper can realize the prognosis of driver’s propensity,and it is better than previous methods.Driver’s transportation task has an influence on driver’s physiological and psychological factors,and consequently driver’s propensity prediction would be affected.The experiments in different task urgency are carried out and the correlation of task urgency and driver’s propensity through one-way ANOVA is elaborated.Results show that task urgency has a significant effect on driver’s propensity,thus driver’s propensity types are different significantly in different task urgency degree.