IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i3p817-d203507.html
   My bibliography  Save this article

Classification of Driving Fatigue in High-Altitude Areas

Author

Listed:
  • Zhihao Duan

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Jinliang Xu

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Han Ru

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Menghui Li

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

Abstract

Driving fatigue is one of the main causes of traffic accidents. Thus, to prevent traffic accidents and ensure traffic safety, the properties of driving fatigue at the wheel must be determined. The Qinghai–Tibet Plateau in China is known for its high elevation, causing hypoxia, and presence of severely cold areas; all these easily lead to fatigue during driving. This, in turn, seriously affects the traffic safety on the high-altitude highway. Therefore, the factors leading to driving fatigue and the influence of high-altitude on driving fatigue affecting the driver must be further studied. In this study, we classified and quantified driving fatigue according to the driving fatigue degree. We determined three levels of driving fatigues (i.e., mild, moderate, and severe fatigues) to present their influence on drivers. Our study shows that in this high-altitude area, drivers became fatigued within a significantly shorter time.

Suggested Citation

  • Zhihao Duan & Jinliang Xu & Han Ru & Menghui Li, 2019. "Classification of Driving Fatigue in High-Altitude Areas," Sustainability, MDPI, vol. 11(3), pages 1-10, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:817-:d:203507
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/3/817/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/3/817/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Farnad Nasirzadeh & Mostafa Mir & Sadiq Hussain & Mohammad Tayarani Darbandy & Abbas Khosravi & Saeid Nahavandi & Brad Aisbett, 2020. "Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals," Sustainability, MDPI, vol. 12(7), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:817-:d:203507. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.