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Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph

In recent years, the mileage of the tunnels has substantially increased with the rapid highway construction that led to increasing highway tunnels. Most studies on tunnel accidents have mainly focused on the external environments, such as tunnel structure, traffic volume, and lighting. In addition,...

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Autores principales: Yang, Yanqun, Feng, Yang, Easa, Said M., Zheng, Xinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520936/
https://www.ncbi.nlm.nih.gov/pubmed/34671283
http://dx.doi.org/10.3389/fpsyg.2021.646406
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author Yang, Yanqun
Feng, Yang
Easa, Said M.
Zheng, Xinyi
author_facet Yang, Yanqun
Feng, Yang
Easa, Said M.
Zheng, Xinyi
author_sort Yang, Yanqun
collection PubMed
description In recent years, the mileage of the tunnels has substantially increased with the rapid highway construction that led to increasing highway tunnels. Most studies on tunnel accidents have mainly focused on the external environments, such as tunnel structure, traffic volume, and lighting. In addition, although many studies on mental load of drivers have been conducted for public roads, such studies for highway tunnels have been limited. In this study, three scenarios with different front vehicle speeds (60, 45, and 30 km/h) in a two-lane long tunnel (one lane in each travel direction) were evaluated using a driving simulator. The experiment involved 24 participants (14 men and 10 women) with an average age of 25.8 years and an average experience of 3.2 years. The electroencephalogram (EEG) technology was used to collect the leading EEG indicators during the driving simulation of the scenarios: α, β, and θ waves and the wave ratio, (α + θ)/β. According to the β-wave energy measurements, the alertness of drivers was the lowest at 45 km/h after adapting to the tunnel environment, indicating that the drivers were more comfortable at this speed. This preliminary finding should help in determining the speed limit in this type of tunnel.
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spelling pubmed-85209362021-10-19 Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph Yang, Yanqun Feng, Yang Easa, Said M. Zheng, Xinyi Front Psychol Psychology In recent years, the mileage of the tunnels has substantially increased with the rapid highway construction that led to increasing highway tunnels. Most studies on tunnel accidents have mainly focused on the external environments, such as tunnel structure, traffic volume, and lighting. In addition, although many studies on mental load of drivers have been conducted for public roads, such studies for highway tunnels have been limited. In this study, three scenarios with different front vehicle speeds (60, 45, and 30 km/h) in a two-lane long tunnel (one lane in each travel direction) were evaluated using a driving simulator. The experiment involved 24 participants (14 men and 10 women) with an average age of 25.8 years and an average experience of 3.2 years. The electroencephalogram (EEG) technology was used to collect the leading EEG indicators during the driving simulation of the scenarios: α, β, and θ waves and the wave ratio, (α + θ)/β. According to the β-wave energy measurements, the alertness of drivers was the lowest at 45 km/h after adapting to the tunnel environment, indicating that the drivers were more comfortable at this speed. This preliminary finding should help in determining the speed limit in this type of tunnel. Frontiers Media S.A. 2021-10-04 /pmc/articles/PMC8520936/ /pubmed/34671283 http://dx.doi.org/10.3389/fpsyg.2021.646406 Text en Copyright © 2021 Yang, Feng, Easa and Zheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Yang, Yanqun
Feng, Yang
Easa, Said M.
Zheng, Xinyi
Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
title Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
title_full Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
title_fullStr Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
title_full_unstemmed Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
title_short Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
title_sort evaluation of mental load of drivers in long highway tunnel based on electroencephalograph
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520936/
https://www.ncbi.nlm.nih.gov/pubmed/34671283
http://dx.doi.org/10.3389/fpsyg.2021.646406
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