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NASA NTRS · Presentation
Validation of Fatigue Modeling Predictions in Aviation Operations
Attribution
This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Ames Research Center.
Abstract
Verbatim from NASA NTRS. Not paraphrased, not summarized.
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 ↗