• DocumentCode
    2343514
  • Title

    Modeling human vehicle driving which integrate models of fatigue

  • Author

    Zhao, ShuanFeng ; Xu, Guanghua ; Tao, Tangfei

  • Author_Institution
    Sch. of Mech. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3493
  • Lastpage
    3497
  • Abstract
    A fatigue driving model was established to investigate the relationship of driver fatigue with driving action and driving dynamics parameters. The target of this model is providing a theoretical basis for early warning study of fatigue driving. The model includes parameters of perception, decision-making and driving operations. From a step test with steady-state in the correction link these parameters can be determined and then the driver/vehicle closed-loop system simulation model can be set up. The sigmoid function was used as the discriminant function of fatigue by taking account the characteristics of the human body fatigue. Derived evaluation index system of the closed-loop system was also provided in the model. Driving fatigue process of a driver in double-lane and vertical cross lane was simulated by using the proposed model. The simulated results qualitatively coincide with the reported experimental observations, verifying the feasibility of the method.
  • Keywords
    closed loop systems; decision making; digital simulation; driver information systems; road accidents; road safety; road traffic; road vehicles; closed-loop system simulation; decision-making; discriminant function; double-lane; fatigue driving model; human vehicle driving model; road safety; sigmoid function; traffic accident; vertical cross lane; Biological system modeling; Brain modeling; Fatigue; Humans; Laboratories; Manufacturing systems; Mechanical engineering; Vehicle driving; Vehicle dynamics; Wheels; Driver; Fatigue Driving; Preview Follower Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138855
  • Filename
    5138855