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Validation of Fatigue Modeling Predictions in Aviation Operations

NASA NTRS · Presentation · 20170009816 · Published 2019-07-12 · Ames Research Center · 3 authors

Abstract and citation only, verbatim from NASA NTRS; full text lives there. All credit to the authors and Ames Research Center.

Abstract

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.

Authors

  • Gregory, Kevin San Jose State Univ.
  • Martinez, Siera San Jose State Univ.
  • Flynn-Evans, Erin NASA Ames Research Center

Keywords

  • operational safety
  • fatigue management
  • biomathematical models

Citation

Gregory, Kevin, Martinez, Siera, Flynn-Evans, Erin (2019). Validation of Fatigue Modeling Predictions in Aviation Operations. Ames Research Center. NASA NTRS ID 20170009816. https://ntrs.nasa.gov/citations/20170009816 ↗