• DocumentCode
    2271431
  • Title

    Experimental Research on Driver Fatigue Based on SOFM

  • Author

    Zhang Jun ; Zhu Zhong-xiang ; Song Zheng-he ; Mao En-rong ; Cheng Bo

  • Author_Institution
    Coll. of Eng., China Agric. Univ., Beijing
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    800
  • Lastpage
    804
  • Abstract
    An evaluation model of driver fatigue state was constructed based on the self-organizing feature map (SOFM), in which reaction time, steering angle and vehicle trajectory were considered. 10 males in the same age phrase were recruited to drive under monotonous conditions on self-made driving simulator. The statistic analysis of the test data showed that the three indexes mentioned above were correlated with the subjective evaluation which was performed by the experts according to the recorded videos distinctly. From the experimental results, it was found that the fatigue levels classified by SOFM evaluation model were in accordance with subjective evaluation, and SOFM evaluation model could recognize the levels of driver fatigue state automatically and accurately.
  • Keywords
    driver information systems; road accidents; road safety; road traffic; self-organising feature maps; statistical analysis; SOFM evaluation model; driver fatigue state; self-made driving simulator; self-organizing feature map; statistic analysis; traffic accidents; Automotive engineering; Condition monitoring; Fatigue; Intelligent vehicles; Road accidents; Switches; Testing; Vehicle driving; Vehicle safety; Wheels; SOFM; driver fatigue; evaluation model; experimental research; traffic engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.439
  • Filename
    4740107