NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE

By T. Ranney, W. R. Garrott, M. Goodman. 2001

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Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2009, background): “The National Highway Traffic Safety Administration (NHTSA) estimates that approximately 25% of police-reported crashes involve some form of driver inattention—the driver is distracted, asleep or fatigued, or otherwise “lost in thought” [1].”
Online Driver Distraction Detection Using Long Short-Term Memory (2011, background): “Distraction (aside from drowsiness), as one form of driver inattention, may be characterized as “any activity that takes a driver’s attention away from the task of driving” [2].”
Drivers' attitudes toward imperfect distraction mitigation strategies (2006, methodology): “Specifically, illustrations of visual only, visual manual, manual only, and cognitive distraction were presented (Ranney et al., 2000; Wierwille, 1993).”
Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019, background): “Four types of distraction are clariﬁed by the NHTSA, which are the visual distraction, auditory distraction, biomechanical distraction, and cognitive distraction [37].”