Validation of Fatigue Modeling Predictions in Aviation OperationsBio-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.
Document ID
20170009816
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Gregory, Kevin (San Jose State Univ. Moffett Field, CA, United States)
Martinez, Siera (San Jose State Univ. Moffett Field, CA, United States)
Flynn-Evans, Erin (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 11, 2017
Publication Date
March 22, 2017
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN40497Report Number: ARC-E-DAA-TN40497
Meeting Information
Meeting: International Conference on Managing Fatigue
Location: San Diego, CA
Country: United States
Start Date: March 20, 2017
End Date: March 23, 2017
Sponsors: National Academy of Sciences - National Research Council