Study On Drivers Classification Base On Reaction Time Of Car Following

With the high-speed development of road traffic,residents’ travel has been greatly promoted in terms of convenience and comfort.However,at the same time,there are also great potential risks in traffic safety.How to effectively reduce the incidence of traffic accident has become a research hotspot for domestic and foreign scholars that needs to be settled urgently.Drivers are the main components of the road traffic system.According to statistics,the traffic accidents caused by drivers account for about 90%.Because there are many factors that affect drivers and different drivers have different characteristics,the reasonable classification of drivers can be effective in driving behavior research,and at the same time also can reduce the traffic accident rate to a certain extent.However,at present,the research on classification of drivers at home and abroad mostly classifies the driver’s health and psychological characteristics,which leads to unclear classification boundaries.Therefore,this article starts from the driver’s basic properties and conducts driver classification research.The driver reaction time is an important parameter to study driving behavior.There are certain differences in the reaction time of different drivers,therefore,the reaction time in the follow-up process can be used as an indicator for driver classification.However,there are many factors that affect the driver’s response time,including the driver’s own influence factors,road influence factors,and traffic environment.The driver’s own factors mainly include the driver’s age,gender,driving experience,mental and physical conditions,etc.The traffic environment influencing factors mainly include external weather conditions,different driving periods,different speeds and traffic order.Road conditions mainly include the grade of the road,the shape of the road,the smoothness of the road surface,and some other road conditions.Through summarizing the influencing factors of the driver’s reaction time,we can provide the basis for dividing levels of factors for the orthogonal experiment in driver classification.This thesis uses the Analytic Hierarchy Process(AHP)to rank the influencing factors of driver’s reaction time.The results show that in the criterion level of influence factors of driver’s reaction time,the driver’s own situation has the greatest influence.Its weight value reaches 0.637.The order of importance is the driver’s own situation,traffic environment conditions and road conditions.The most influentialfactors in each element of the plan level are weather conditions,driving experience,and age.At the same time,the driver’s reaction time will decrease with the increase of driving experience and the increase of driving age.Accordingly,the driver’s reaction time will gradually increase with age,and be verified by driving simulation.The analysis of influence factors of driver’s reaction time is used to obtain the order of importance of influence factors of driver’s reaction time.It uses the ranking factors to conduct research,and studies the grading level of each influencing factor and determines the orthogonal test plan.Then it determines the test scene of driver’s reaction time and conducts the test experiment of driver’s reaction,obtaining the time series data of drivers during the car-following process.Finally,by the time series data of the driver’s follow-up status obtained,the thesis statistically concludes the follow-up reaction time of different drivers,establishes the functional relationship between the driver’s reaction time and the speed,and uses the dynamic clustering method to classify the reaction time-velocity function.Finally,the driver’s classification is achieved.The results show that the driver can be divided into four categories through the reaction time index,and the actual vehicle experimental data can be used for better verification.The result can be well applied to the simulation software,the driver reaction time under different Settings,providing theoretical basis for automatic driving assistant system development,providing a certain basis for the study of driving behavior.