Dynamic Feature Extraction Method of Driver’s Propensity under Complicated Vehicle Group

Abstract EN

The effect of driver’s physiological and psychological characteristics on traffic safety is represented mainly as driver’s propensity.

Previous researches focus mostly on psychology test and its influence on traffic safety from relative static and macroscopic perspective.

However, in the field of vehicle active safety, there are few studies on driver’s affective measurement and computing from microcosmic and dynamic perspective, and previous researchers did not consider the influence of environment.

The emphasis is about situation factors which directly influence driver’s affection in all environment factors under two-lane condition.

Various experiments are designed to collect driver’s microdynamic information, and characteristics of driver’s propensity toward different environments are extracted using genetic simulated annealing algorithm.

Results show that the method can provide a basis to establish dynamic recognition model of driver’s propensity further which is adapted to multilane environment.