摘要
为了探究草原公路交通标志信息量对驾驶员脑电特性的影响,确定最佳信息量水平。依据草原公路交通标志现状,利用雷诺六自由度实车模拟驾驶系统模拟典型的草原公路,设计了5个信息量水平(Z1、Z2、Z3、Z4、Z5)的交通标志,其中Z1是草原公路交通标志的主要存在形式。利用MP150多通道生理仪采集驾驶员行驶过程中的脑电信号,探索模拟驾驶环境下驾驶员的脑电信号特征。结果表明:交通标志信息量对驾驶员脑电信号有显著影响,在Z1水平下驾驶员的β波、(α+θ)/β指标表现较差,不利于安全行车;在Z3水平下驾驶员的β波、(α+θ)/β指标表现最佳,最利于安全驾驶;通过对比经验组与非经验组驾驶员,发现经验组驾驶员更放松,经验组驾驶员处理信息的能力要强于非经验组,获取更多的是有效信息。
To explore the influence of highway roadside traffic information amount in prairie areas on the EEG(electroencephalogram) characteristics of drivers, the most appropriate amount of information provided was determined. According to the current situation in this regard, the driving system of the Renault’s six DOF(degree of freedom) in real vehicle was used to simulate typical cases. Five levels in traffic information amount(Z1, Z2, Z3, Z4, and Z5) were designed, among which Z1 was the most common level at present in the prairie case. The EEG signals of the driver during driving were collected by MP150 multi-channel physiological instrument, and the characteristics of the EEG signals of the driver under simulated driving environment were explored. The results show that the traffic signs have a significant effect on the driver’s EEG signals, and the β wave,(α+θ)/β index of the driver is poor at Z1 level, which is not conducive to safe driving. The β wave,(α+θ)/β index of the driver is the best at Z3 level, which is the best for safe driving. By comparing the drivers in experience group with the non-experience group, it is found that the experienced drivers were more relaxed, and they are better in acquiring useful information more effectively than the non-experienced ones.
作者
朱守林
赵谦
戚春华
高明星
李航天
ZHU Shou-lin;ZHAO Qian;QI Chun-hua;GAO Ming-xing;LI Hang-tian(College of Energy and Traffic Engineering,Inner Mongolia Agriculture University,Hohhot 010018,China)
出处
《科学技术与工程》
北大核心
2020年第20期8407-8412,共6页
Science Technology and Engineering
基金
国家自然科学基金(51768057)。
关键词
草原公路
适宜信息量
动态试验
脑电信号
信息量
行车安全
prairie highway
appropriate amount of information
dynamic test
electroencephalogram signal
information content
road safety
