Construction And Application Of Driver Behavior Model Based On Vehicle Driving Data

With the development of social economy,automobile has become one of the most important means of transportation for people’s daily travel.Strengthening traffic safety management and preventing accidents have gradually become the focus of road safety research in recent years.As the operator of vehicle,the driver’s behavior is the most important factor affecting traffic safety.It is of great significance to study driving behavior in preventing traffic accidents and promoting the development of intelligent transportation and driving assistant system.In this dissertation,the actual data of vehicle driving is obtained through the OBD vehicle terminal,and the Kalman filter algorithm is used to process the original data.According to the specific definition of morning and evening peak and night driving time,the vehicle driving time is counted in detail.Using pre-processed data,combined with vehicle OBD on-board terminal data and positioning data,this dissertation designs the abnormal driving behavior recognition algorithm,such as speeding,accelerating,decelerating,braking,turning and lane changing,and verifies the algorithm with the actual data.Through the analysis of driving behavior,entropy weight method and analytic hierarchy process are used to calculate the weight of driving behavior influence factors.At the same time,the advantages and disadvantages of these two methods are analyzed,and an integrated weighting method,which integrates the above two algorithms,is proposed.Compared with the single entropy weight method and analytic hierarchy process,the integrated weighting method can well combine the objective data and expert opinions,making the calculation results more in line with the reality.On this basis,the index scoring rules are established by using the integrated weighting method,and the driving behavior scoring model is constructed.Finally,according to the actual demand of road traffic for driving safety,the driving behavior scoring system is designed and implemented by using the driving scoring model.The key modules of the system include driving trajectory module,driving score module,safety warning module,driver travel statistics module and vehicle monitoring module.The experimental results show that the driving behavior scoring system can analyze and evaluate the driving behavior of the driver,so that the driver can more accurately understand his driving trajectory,abnormal driving behavior and driving score,and has a positive effect on cultivating good driving habits.