高速公路驾驶环境单调枯燥，容易使驾驶员产生驾驶疲劳，影响行车安全。通过检测高速公路模拟环境下驾驶员脑电信号特征，验证了采用脑电信号作为驾驶疲劳检测指标的合理性。结果表明，β和（α+θ）β两项指标对驾驶疲劳反应最敏感，可作为表征高速公路驾驶疲劳的脑电指标；在80~100min时间段内，驾驶员驾驶疲劳状态趋势尤为明显，应采取适当措施来减缓疲劳，从而降低由于疲劳驾驶引起的道路交通事故。实验结果可为高速公路驾驶疲劳预警和道路安全设计提供理论支撑。%〔Abstract〕 The highway driving environment is boring, and easy to make the driver fatigue driving, threat-ing to traffic safety. A driving simulative experiment by detecting EEG signals of drivers was carried out, and the rationality of taking EEG signals as fatigue detecting indices was validated. The result shows that the two indices β and (α+θ)/β of driver fatigue are the most sensitive, and can be used as the indices of EEG to characterization of the highway driving fatigue;during the period of 80~100min, the driver ’ s driv-ing fatigue trend is obvious, and appropriate measures should be taken to reduce fatigue, so as to reduce the traffic accidents caused by driving fatigue. The experimental results can provide some theoretical support for the driver fatigue warning and road safety design of the highway.
展开▼
