School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China.
School of Civil and Environmental Engineering, Nanyang Technological University, 50# Nanyang Avenue, Singapore 639798, Singapore.
Int J Environ Res Public Health. 2021 Sep 17;18(18):9810. doi: 10.3390/ijerph18189810.
To study the influence of the driving environment of an undersea tunnel on driver EEG (electroencephalography) characteristics and driving safety, a real vehicle experiment was performed in the Qingdao Jiaozhou Bay Tunnel. The experimental data of the drivers' real vehicle experiment were collected using an illuminance meter, EEG instrument, video recorder and other experimental equipment. The undersea tunnel is divided into different areas, and the distribution law of driving environment characteristics, EEG characteristics and vehicle speed characteristics is analyzed. The correlations between the driving environment characteristics, EEG characteristics and vehicle speed characteristics model the variables that pass the correlation test. The driving safety evaluation model of an undersea tunnel is established, and the driving safety in different areas of the undersea tunnel is evaluated. The results show that there are obvious differences in illumination, EEG power change rate, vehicle speed and other variables in different areas of the undersea tunnel. The driving environment characteristics are highly correlated with the β wave power change rate. The driving safety of different areas of the undersea tunnel from high to low is: upslope area, downslope area, exit area and entrance area. The study will provide a theoretical basis for the safe operation of the undersea tunnel.
为了研究海底隧道行车环境对驾驶员 EEG（脑电图）特征和行车安全的影响，在青岛胶州湾隧道进行了实车实验。采用照度计、脑电图仪、摄像机等实验设备，采集驾驶员实车实验的实验数据。将海底隧道划分为不同区域，分析了行车环境特征、脑电图特征和车速特征的分布规律。对通过相关性检验的变量进行建模，建立海底隧道行车安全评价模型，评价海底隧道不同区域的行车安全。结果表明，海底隧道不同区域的光照度、脑电图功率变化率、车速等变量存在明显差异。行车环境特征与β波功率变化率高度相关。海底隧道不同区域的行车安全由高到低依次为：上坡区、下坡区、出口区和入口区。本研究将为海底隧道的安全运行提供理论依据。
