Reliability Study Of Driving Behavior Based On Real Vehicle Driving Conditions

As cars gradually enter people's daily lives,more and more people become drivers.However,the uneven quality of the driver group has also brought about a series of traffic safety issues.The driver is in a dominant position in the transportation system.Therefore,research on the driver's driving behavior and reliability is an important entry point to solve the traffic safety problem and reduce the traffic accident rate.This paper studies the driver behavior by conducting real vehicle experiments,based on the driver's real and natural driving data,and using mathematical statistics.The main research contents are as follows:Firstly,we are discuss three process of driving behaviors based on S-O-R,TPB and ACM.It shows that the driver's own factors are the main factors affecting driving behavior.The level of traffic organization and supervision are important factors affecting driving behavior.And we analysis the characteristics and influencing factors of driving behavior.Next,the ErgoLAB man-machine environment synchronization platform was used to design and carry out the real vehicle experiment,and the driving behavior,road conditions and vehicle working conditions of 36 drivers were counted.Through the obtained natural driving data,using the analysis of variance and linear regression analysis,the driving behaviors of the driver in the two scenes of sudden signal mutation and emergency obstacle avoidance are studied.Finally,a driving behavior reliability model considering the series-parallel relationship between reliability indicators is established.The model contains 12 driving behavior indicators,and the driver reliability calculation formula is derived.Through the actual vehicle experiment,the selected 12 reliability indicators were counted,and the reliability of 36 drivers was calculated.For the collected natural driving data,the principal component analysis method is used to obtain the weight of each indicator.And analyzed the impact of various indicators on driving behavior.Countermeasures and suggestions are provided to improve the reliability of driver's driving behavior.