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

Author

Listed:
  • Yongzheng Yang

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Zhigang Du

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Fangtong Jiao

    (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)

  • Fuquan Pan

    (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China)

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.

Suggested Citation

  • Yongzheng Yang & Zhigang Du & Fangtong Jiao & Fuquan Pan, 2021. "Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9810-:d:638099
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    References listed on IDEAS

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    Cited by:

    1. Sen Ma & Jiangbi Hu & Ershun Ma & Weicong Li & Ronghua Wang, 2023. "Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort," Sustainability, MDPI, vol. 15(15), pages 1-20, August.
    2. Ying Chen & Zhigang Du & Fangtong Jiao & Shuyang Zhang, 2022. "Optimal Speed Model of Urban Underwater Tunnel Based on CO 2 Emissions Factor," Sustainability, MDPI, vol. 14(15), pages 1-16, August.

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