Research On Driving Behavior Analysis And Evaluation System Based On Truck Driving Data

With the rapid development of China’s automobile transportation industry,the number of highway freight trucks in China is gradually increasing,but the driver’s driving level is uneven,truck driving for long-distance transportation,will cause drivers to accelerate,brake,speed,do not drive according to the provisions and other bad driving habits.The driver is the operator of the vehicle and the main participant of the road traffic,so it is of great significance to analyze the driver’s driving behavior and evaluate the study on improving the economy and safety of driving.Based on the driving behavior analysis system of this study,a set of driving economy and driving safety index system and evaluation methods are proposed.The main contents of the study are as follows:Taking the freight truck of an enterprise as the research object,the actual vehicle running data of more than 60,000 kilometers is analyzed and processed.And developed the reconstruction algorithm of vehicle mileage data reconstruction,vehicle weight information estimation,missing,error and other data,extracted data features,used to describe the driver’s driving behavior.According to the driving style’s influence on the engine operating conditions,through the mechanism analysis,the engine fuel consumption and the driver pedal opening,engine speed,torque,speed,and validated through actual data analysis and Pearson correlation coefficient,extracting affect driving behavior characteristic parameters of fuel consumption,lay a foundation for the economic evaluation model.Then,the required data were standardized.According to the characteristic parameters,the instantaneous fuel consumption was taken as the guide and the clustering algorithm was adopted to analyze the driving behavior and label each level.The driving economy evaluation model based on neural network was established with the characteristic parameter index as the input and the instantaneous fuel consumption with the label as the output.Secondly,the method of using control variables for different drivers is compared and analyzed.The safety level is divided into three levels with the speed,acceleration and the rate of change of acceleration as indicators.The index weight of each level is determined with the analytic hierarchy process(AHP)to calculate the safety driving level of each driver.Finally combined with the development of driving behavior evaluation system,to portrait of driver behavior characteristics,basic attribute of drivers,driving characteristics,the characteristics of the rankings in groups,change trend and evaluation score together,form the driving behavior evaluation system,which can be used to comprehensive evaluate driver’s driving habits and manipulation,driving economy and driving safety,as a benchmark used to improve the driver’s driving behavior,optimize the driving manipulation of the habit.