基于脑电信号的驾驶疲劳研究  

Study on Driving Fatigue Based on EEG Signals

作　　者：房瑞雪[1] 赵晓华[1] 荣建[1] 毛科俊[1] 

机构地区：[1]北京工业大学北京交通工程重点实验室,北京100124

出　　处：《公路交通科技》2009年第S1期124-126,141,共4页Journal of Highway and Transportation Research and Development

基　　金：08科研基地-教委科技创新平台资助项目(JJ004011200803)

摘　　要：采用驾驶模拟试验,通过检测驾驶员的脑电信号,研究脑电波不同频带的平均功率随驾驶时间的变化规律,验证了脑电信号作为驾驶疲劳检测指标的合理性。研究结果表明,各脑电指标与P80指标之间存在很大的相关性;在极其单调的道路环境下,驾驶员在28 min左右时会出现疲劳症状,因此在道路设计时,单调的场景应限制在28 min的车程之内;同时,应对驾驶员进行宣传教育,避免过渡疲劳驾驶,在行车28 min时应采取适当的措施来减缓疲劳,从而减少由于疲劳驾驶引起的道路交通事故。A driving simulative experiment by monitoring Electroencephalograph(EEG) signals of drivers was carried out to study the change law of average power spectral densities of different frequency bands of brain waves with extended driving periods,and the rationality of taking EEG Signals as fatigue monitoring indices was validated.The result shows that(1) there is a great correlation between P80 and EEG indices;(2) in the monotonous road environment,the fatigue symptoms would occur in 28 minutes,therefore the optimum driving time in monotonous environment is within 28 minutes driving;(3) it is necessary to educate the drivers to avoid fatigue driving and take measures to reduce fatigue when driving 28 minutes to reduce the road traffic accidents caused by driving fatigue.

关 键 词：智能运输系统 驾驶时间 驾驶模拟 疲劳驾驶 脑电信号 

分 类 号：U495[交通运输工程—交通运输规划与管理]