Flight Attendant Work/Rest Patterns, Alertness, and Performance Assessment
Although a considerable amount of scheduling and fatigue research has been conducted with pilots in recent years, the issue of fatigue in cabin crew has received little systematic attention from the scientific community. IBR conducted a congressionally mandated study to assess sleep and performance effectiveness patterns across a broad sample of a flight attendant population.
Developing Mathematical Models of Neurobehavioral Performance for the "Real World"
Work operations requiring extended wake durations, night, or rotating shifts negatively affect worker neurobehavioral performance and health. Industry is increasingly using or considering the use of mathematical models for real-world problems to predict the neurobehavioral deficits due to operational demands, to develop interventions that decrease these deficits, and to provide additional information to augment existing decision-making processes.
Fatigue Modeling as a Tool for Managing Fatigue in Transportation Operations
Based on the SAFTE model, FAST and SAFTE-FAST software were developed to offer a user-friendly, computerized tool for operational planners and schedulers to objectively assess potential fatigue and design alternatives to reduce it.
Fatigue Models for Applied Research in Warfighting
The US Department of Defense has long pursued applied research concerning fatigue in sustained and continuous military operations.
Flight Attendant Work/Rest Patterns, Alertness, and Performance Assessment: Field Validation of Biomathematical Fatigue Modeling
This report, from the 2009-2010 FAA Civil Aerospace Medical Institute (CAMI)-sponsored Flight Attendant Field Study, offers a field validation of the SAFTE model using data from a broad sample of 178 aviation cabin crew.
Measurement and Estimation of Sleep in Railroad Worker Employees
Fatigue risk management systems provide a means to plan for and manage fatigue in round-the-clock operations. Bio-mathematical fatigue models predict opportunities for sleep associated with a work schedule, the predictive accuracy of which depends, in part, upon the accuracy of the sleep estimation. This study validated the AutoSleep sleep estimation algorithm used in the SAFTE model as implemented in the FAST software.
The Fatigue Avoidance Scheduling Tool: Modeling to Minimize the Effects of Fatigue on Cognitive Performance
This study illustrates how operator fatigue and time-of-day induced variations in cognitive effectiveness predicted by SAFTE-FAST can lead to lapses in attention, slowed reactions, and impaired reasoning and decision-making, which has been shown to contribute to accidents, incidents, and errors in a host of industrial and military settings.
Validation and Calibration of a Fatigue Assessment Tool for Railroad Work Schedules, Summary Report
This report summarizes the results of a project to demonstrate a method to validate and calibrate a fatigue model. The project examined 30-day work histories of locomotive crews prior to 400 human factors accidents and 1000 nonhuman factors accidents.
Validation of FAST Model Sleep Estimates with Actigraph Measured Sleep in Locomotive Engineers
This study compares actigraphy data with model predictions on a minute-by-minute basis and finds an overall agreement between the two 87% of the time. The study results validate the AutoSleep algorithm, a key sleep prediction component of SAFTE-FAST, demonstrating its utility for assessing fatigue risk created by typical railroad schedules.
Analysis of the Relationship between Operator Effectiveness Measures and Economic Impacts of Rail Accidents
FRA railroad accident data and associated train crew work schedules analyzed by SAFTE-FAST shows that high levels of fatigue increase the average cost of human factor (HF) accidents by 300 percent and increase the risk of a HF accident by 65 percent.