Individualized Fatigue Management Program Technology for Trucking Operations

Individual differences in vulnerability to sleep loss and fatigue from extended work hours and night work are a substantial problem in transportation work schedule development, fatigue risk management strategies, and prediction of performance impairment in real-world operations. This project will deliver an individualized Fatigue Management Program (FMP) technology for trucking operations that incorporates information about sleep/wake history (from actigraphy) and cognitive performance (PERCLOS, a device measuring percent eye closure as a validated correlate of performance impairment due to fatigue) to produce physiology-based individualized predictions of future performance capability (e.g. 2h, 6h, 12h, 24h, 48h ahead, etc.). This technology will be accomplished by building on our extensive peer-reviewed pioneering work in this area investigating trait individual differences in vulnerability to sleep loss and developing closed-loop, Bayesian and Kalman filter-basedadaptive algorithms to individually tailor mathematical models of performance. By the end of Phase II, the individualized alertness model and FMP technology will be ready for Field Operational Testing (FOT) and commercialization in the motor carrier industry to predict future performance of a given individual, which can be used to improve CMV drivers schedule development, inform an in-truck drowsiness detection and warning system or be uplinked for telemonitoring and dynamic resource management.