Bio-mathematical fatigue models that predict levels of alertness and performance are one potential tool for use within integrated fatigue risk management approaches. A number of models have been developed that provide predictions based on acute and chronic sleep loss, circadian desynchronization, and sleep inertia. Some are publicly available and gaining traction in settings such as commercial aviation as a means of evaluating flight crew schedules for potential fatigue-related risks. Yet, most models have not been rigorously evaluated and independently validated for the operations to which they are being applied and many users are not fully aware of the limitations in which model results should be interpreted and applied.


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    Titel :

    Validation of Fatigue Modeling Predictions in Aviation Operations


    Beteiligte:
    Gregory, Kevin (Autor:in) / Martinez, Siera (Autor:in) / Flynn-Evans, Erin (Autor:in)

    Kongress:

    International Conference on Managing Fatigue ; 2017 ; San Diego, CA, United States


    Erscheinungsdatum :

    2017-03-22


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




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