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

The Comprehensive Prediction Model of Driver's Subjective Fatigue State and Steering Wheel Angle on 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(SOFIC)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。

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 indicators（ 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 performance 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 fatigue 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 amplitude 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.