驾驶员主观疲劳状态与方向盘转角对事故倾向性的综合预测模型

摘要

In order to study the effect of the driver's fatigue condition on the accident tendency,use SOFI-C to measure the subjective fatigue status of the driver and driving simulator to collect driver's driving performance indica-tors( speed variability,steering wheel control,brake depth,accelerator control,lane position variability,speed and the number of collisions) . And check the regression relationship between fatigue condition before driving,driving perform-ance and the number of collisions. The results show that there is a significant correlation between the fatigue state of the driver's driving task,the steering Angle of the steering wheel and the number of collisions. And the subjective fa-tigue condition before the driving task can effectively predict the driving performance and the number of accidents. In the course of the lack of dynamic feeling of self-assessment impact the collision frequency,the steering wheel angle plays a complete mediating role. Conclusion:The more tired the driver before the task,the greater the fluctuation am-plitude of the steering wheel,the stronger the accident tendency. We can combine the SOFI-C scale and the steering wheel Angle to make a comprehensive prediction of the accident tendency.%为研究驾驶员驾驶任务前的主观疲劳状态对事故倾向性的影响,采用瑞典行业疲劳问卷(SOFI-C)对驾驶员驾驶任务前和驾驶任务后的主观疲劳状态进行测量,使用驾驶模拟器采集驾驶员的驾驶绩效指标(速度变异性、方向盘控制、刹车深度、油门大小、车道位置变异性、速度)和碰撞次数,并检验驾驶员驾驶任务前疲劳状态、驾驶绩效和碰撞次数的相关关系和回归关系.结果表明:驾驶员驾驶任务前疲劳状态、方向盘转角和碰撞次数有显著相关性,并且驾驶任务前的主观疲劳状态能够有效预测驾驶绩效和事故次数,自我评估的缺乏动力感受对碰撞次数的影响过程中,方向盘转角起完全中介作用.结论:任务前越疲劳的驾驶员,方向盘转角波动幅度越大,事故倾向性越强,可以结合使用SOFI-C量表和方向盘转角波幅对事故倾向性进行综合预测.