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Research Papers

Evaluation of a Biomathematical Modeling Software Tool for the Prediction of Risk in Flight Schedules Compared Against Incidence of Fatigue Reports

This study evaluates how well SAFTE-FAST Insights predicts fatigue risk by comparing model predictions with real-world pilot fatigue reports. The results demonstrate that Insights can effectively identify high-risk duties during schedule planning, helping organizations proactively manage fatigue risk. (originally published by mdpi.com)

​Compound Fatigue Risk in Medium-Haul Pilots

This paper examines the factors that contribute to fatigue in medium-haul airline operations, including circadian, operational, environmental, and psychosocial influences. The findings highlight how multiple sources of fatigue can combine to increase safety risk and support more effective fatigue risk management strategies.

In-Flight Use of Consumer Sleep Technologies for Aviation Research

This paper looks at the potential for consumer sleep trackers to collect in-flight sleep data and support aviation fatigue research. It also discusses the need for stronger validation of these tools.

Fatigue Models for Applied Research in Warfighting

This study demonstrates the ability of the SAFTE model to accurately predict and measure the effects of fatigue on physical and cognitive performance.

Flight Attendant Work/Rest Patterns, Alertness, and Performance Assessment: Field Validation of Biomathematical Fatigue Modeling

This study demonstrates that the SAFTE model can predict changes in the speed of performance on a psychomotor vigilance test (PVT) based on actigraphy-based sleep data.

Validation and Calibration of a Fatigue Assessment Tool for Railroad Work Schedules, Summary Report

This study compares alertness levels in the SAFTE model against the effects of alcohol impairment and demonstrates that lower alertness levels lead to an increased risk of workplace accidents.

Analysis of the Relationship between Operator Effectiveness Measures and Economic Impacts of Rail Accidents

This study demonstrates that the SAFTE model can predict the elevated cost of fatigue-related accidents. Accidents that were associated with low levels of predicted performance were, on average, four times more costly than accidents caused by rested employees.

Workload predictions from a biomathematical model compared to top-of-descent NASA Task Load Index scores in commercial pilots

Research by Japan Airlines and IBR demonstrates the value of predictive modeling tools in understanding pilot fatigue and workload management. This paper highlights how biomathematical modeling can be applied to predict and compare pilot workload in real-world operations.

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