Research On Automobile Driving Behavior In Virtual Complex Traffic Scenario

As one of the pillars of China's economy,the automobile industry is developing rapidly and is gradually moving towards intelligence.However,the current traffic safety problem in China is still very serious.The survey shows that more than 80% of the risk of road traffic accidents can be traced back to the driver.Research on the driving behavior and characteristics of car drivers plays a key role in road traffic safety and intelligent driving.This paper analyzes the internal relationship between driver characteristics and driving safety,and studies the driver's behavior characteristics.Because the driver's operating behavior,cognitive characteristics,psychophysiological state and other factors are difficult to obtain and quantitatively express,in-depth research is difficult to carry out.With the development of information technology and image technology,the virtual traffic simulation experiment platform constructed using virtual reality and visual simulation technology has become a powerful tool to solve this problem.Therefore,a research on driver behavior characteristics based on virtual complex traffic scenes is proposed.The main research results of this article are as follows:(1)The complex traffic driving scene,tire dynamics model and driving hardware and communication platform simulated by Unity3 D software.The complex virtual scene platform implements six functional structures,can complete driving simulation tests under typical working conditions,and collect driver driving data in real time.(2)Analyzed and selected various driving characteristic indicators that characterize the driver's characteristics.After understanding the driving behavior characteristics of other types of drivers,this paper determined the three categories of driver behavior characteristics in this test.(Cautious,mild,and aggressive).At the same time,the vehicle state indicators describing the above-mentioned drivers have been established,three standards for speed fluctuation,lateral slip,and longitudinal slip are proposed,and the driving risk thresholds for each characteristic are given.(3)Established a fuzzy comprehensive evaluation model of driving behavior,and conducted experimental analysis and data collection on the driver's driving behavior.Based on the probability model and fuzzy control theory,the experimental results are calculated and analyzed,and the correlation between the characteristics of the driver and the prediction,correction strategy and control method of the driving behavior is proposed,and the characteristics of the driver and the corresponding driving are solved Behavioral association and solution method.The research shows that the use of complex virtual simulation experiment platform to stimulate the behavior characteristics of drivers,and the established driving behavior evaluation model can accurately realize the evaluation of the driving habits,tendencies and risks of different types of drivers,and evaluate the drivers in the driving process.The behavior prejudgment in this paper plays a guiding role and has practical value for studying driver driving.