Preliminary on Human Driver Behavior: A Review

  • Xiao Yan
  • Ashardi Abas
DOI: https://doi.org/10.36079/lamintang.ijai-0702.146
Keywords: Drowsiness, Fatigue Driving, Non-Visual, Visual

Abstract

Drowsiness is one of the main factors causing traffic accidents. Research on drowsiness can effectively reduce the traffic accident rate. According to the existing literature, this paper divides the current measurement techniques into subjective and objective ones. Among them, invasive detection and non-invasive detection based on vehicles or drivers are the main objective detection methods.Then, this paper studies the characteristics of drowsiness, and analyzes the advantages and disadvantages of each detection method in practical application. Finally, the development of detection technology is prospected, and provides ideas for the follow-up development of fatigue driving detection technology.

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Author Biographies

Xiao Yan

Universiti Pendidikan Sultan Idris. Tanjong Malim, Malaysia.

Ashardi Abas

Universiti Pendidikan Sultan Idris. Tanjong Malim, Malaysia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 243
2020-12-07
    Downloads : 227
How to Cite
[1]
X. Yan and A. Abas, “Preliminary on Human Driver Behavior: A Review”, International Journal of Artificial Intelligence, vol. 7, no. 2, pp. 29-34, Dec. 2020.
Issue
Vol 7 No 2 (2020)
Section
Articles

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