驾驶人跟车风险接受水平对其接管绩效的影响

Takeover in automated driving is a kind of manual driving operation with high safety requirements, which may be affected by the driver's manual driving safety habits. Based on a driving simulator,the manual car-following and an automated driving takeover experiments are designed in this paper to study the influence of the driver' acceptance level of car-following risk on the takeover performance. Meanwhile, the impact of takeover time budget and visual non-driving related task is also investigated. The results indicate that drivers with a low acceptable level of car-following risk in daily driving have shorter takeover reaction time, and show lower longitudinal collision risk after taking over from the condition of monitoring automated driving. In addition, when drivers are in the state of visual distraction, the 5 s takeover time budget leads to poor lateral and longitudinal stability and high longitudinal collision risk. The results of this study can provide a theoretical basis for the design of personalized automated driving system.