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

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          Abstract

          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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          Induced alpha band power changes in the human EEG and attention.

          Induced alpha power (in a lower, intermediate and upper band) which is deprived from evoked electroencephalograph (EEG) activity was analyzed in an oddball task in which a warning signal (WS) preceded a target or non-target. The lower band, reflecting phasic alertness, desynchronizes only in response to the WS and target. The intermediate band, reflecting expectancy, desynchronizes about 1 s before a target or non-target appears. Upper alpha desynchronizes only after a target is presented and, thus, reflects the performance of the task which was to count the targets. Thus, only slower alpha frequencies reflect attentional demands such as alertness and expectancy.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                04 October 2021
                2021
                : 12
                : 646406
                Affiliations
                [1] 1College of Civil Engineering, Fuzhou University , Fuzhou, China
                [2] 2Traffic Research Center, Fuzhou University , Fuzhou, China
                [3] 3Department of Civil Engineering, Ryerson University , Toronto, ON, Canada
                [4] 4Faculty of Humanities and Social Sciences, Fuzhou University , Fuzhou, China
                Author notes

                Edited by: Varun Dutt, Indian Institute of Technology Mandi, India

                Reviewed by: Shruti Kaushik, Indian Institute of Technology Mandi, India; Abhinav Choudhury, Indian Institute of Technology Mandi, India

                *Correspondence: Xinyi Zheng zhengxinyi@ 123456fzu.edu.cn

                This article was submitted to Cognitive Science, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2021.646406
                8520936
                d7556398-02c5-4150-a2f6-9618856e2535
                Copyright © 2021 Yang, Feng, Easa and Zheng.

                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.

                History
                : 04 January 2021
                : 03 September 2021
                Page count
                Figures: 9, Tables: 5, Equations: 0, References: 50, Pages: 11, Words: 6992
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                driver mental state,driving simulator,electroencephalogram,highway tunnel,car following

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