Research On Drivers’ Perception-Action Characteristics Based On Information Theory

Driver is the core of the "human-vehicle-environment" road traffic system.It is of great significance to study the perception-action pattern of drivers for standardizing driving behavior and improving safety level.However,there are few studies on head movement and organ cooperation during driving,especially on quantitative calculation.Therefore,this paper designed an experiment with the goal of uniform-speed driving in the virtual reality environment,and used information theory tools for modeling and analyze.Firstly,we studied the head movement,and proposed the concept of head movement-local active information storage to analyze the stability of head movement.We proposed the head stability entropy as an indicator to evaluate driving performance.A method based on 2d kernel density estimation was proposed to predict the steering angle of the vehicle using head movement data,and the accuracy is 88.56%.Then we studied the cooperation of head,eye,hand and foot,proposed a causal network based on transfer entropy to describe the cooperation mode between the four,and proposed to use the network average transfer entropy as an indicator to evaluate the coordination of organs in driving.Finally,we found that head-eye cooperation is very strong in driving.The cooperation between organs is better when turning than when going straight.In the uniform-speed driving task,the priority of the driver to the action task is higher than the priority of the perception task.Our research established a driver’s organ collaboration model,which is of great significance for improving driving safety and driving performance,and has application value in driving risk warning and driver status monitoring.