基于不同驾驶环境下脑电特征的驾驶员疲劳状态分析

Analysis of Driver Fatigue Status Based on EEG Characteristics in Different Driving Environments

本文根据疲劳驾驶影响因素,构建了疲劳驾驶的评估体系,并在疲劳驾驶影响因素分析模型基础上,设计了基于脑电信号的疲劳驾驶分析实验,研究驾驶道路环境对疲劳驾驶的影响作用.实验结果表明:驾驶员在山区隧道驾驶过程中的警惕性较高、放松度较低,但疲劳状态容易出现较大的波动,在草原驾驶过程中,疲劳状态的产生要早于山区隧道路段,但整体变化平缓.根据实验结果可适当通过音乐、语言交流加大对驾驶员驾驶状态的刺激,提高其警惕性.

This paper constructs an evaluation system for fatigue driving according to the influencing factors of fatigue driving,and designs an analytical experiment of fatigue driving based on EEG signals through the analysis model of the influencing factors of fatigue driving,so as to study the influence of driving road environment on fatigue driving.The experimental results show that,the drivers have a high vigilance and a low relaxation in the mountain tunnel driving process,but the fatigue state is prone to a great fluctuation.The fatigue state in the grassland driving process is earlier than that in the mountain tunnel driving process,but the overall change is stable.According to the experimental results,the stimulation of the driver’s driving state can be increased through music and language communication to improve the driver’s vigilance.