Next Article in Journal
Metabolic Syndrome and Its Related Factors among Hospital Employees: A Population-Based Cohort Study
Next Article in Special Issue
Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem
Previous Article in Journal
Quantifying Coordination between Agonist and Antagonist Elbow Muscles during Backhand Crosscourt Shots in Adult Female Squash Players
Previous Article in Special Issue
Driver Liability Assessment in Vehicle Collisions in Spain
Article

Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel

1
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
2
School of Civil and Environmental Engineering, Nanyang Technological University, 50# Nanyang Avenue, Singapore 639798, Singapore
3
School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
*
Author to whom correspondence should be addressed.
Academic Editors: Oscar Oviedo-Trespalacios, Yuting Zhang, Mark Johann King, Xiaomeng Li and Tyron Louw
Int. J. Environ. Res. Public Health 2021, 18(18), 9810; https://doi.org/10.3390/ijerph18189810
Received: 24 July 2021 / Revised: 2 September 2021 / Accepted: 8 September 2021 / Published: 17 September 2021
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. View Full-Text
Keywords: undersea tunnel; illuminance; longitudinal slope; EEG; correlation; driving safety undersea tunnel; illuminance; longitudinal slope; EEG; correlation; driving safety
Show Figures

Figure 1

MDPI and ACS Style

Yang, Y.; Du, Z.; Jiao, F.; Pan, F. Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel. Int. J. Environ. Res. Public Health 2021, 18, 9810. https://doi.org/10.3390/ijerph18189810

AMA Style

Yang Y, Du Z, Jiao F, Pan F. Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel. International Journal of Environmental Research and Public Health. 2021; 18(18):9810. https://doi.org/10.3390/ijerph18189810

Chicago/Turabian Style

Yang, Yongzheng, Zhigang Du, Fangtong Jiao, and Fuquan Pan. 2021. "Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel" International Journal of Environmental Research and Public Health 18, no. 18: 9810. https://doi.org/10.3390/ijerph18189810

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop