Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154038
Title: Analysis of EEG characteristics of drivers and driving safety in undersea tunnel
Authors: Yang, Yongzheng
Du, Zhigang
Jiao, Fangtong
Pan, Fuquan
Keywords: Engineering::Civil engineering
Issue Date: 2021
Source: Yang, Y., Du, Z., Jiao, F. & Pan, F. (2021). Analysis of EEG characteristics of drivers and driving safety in undersea tunnel. International Journal of Environmental Research and Public Health, 18(18), 9810-. https://dx.doi.org/10.3390/ijerph18189810
Journal: International Journal of Environmental Research and Public Health
Abstract: 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.
URI: https://hdl.handle.net/10356/154038
ISSN: 1660-4601
DOI: 10.3390/ijerph18189810
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

Files in This Item:
File Description SizeFormat 
ijerph-18-09810.pdf4.8 MBAdobe PDFView/Open

Page view(s)

9
Updated on Jun 26, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.