Drowsy driving-related crashes have been a key concern in transportation safety. In Louisiana, 14 (1,758 out of 12,512) of police-reported drowsy driving-related crashes during 2015-2019 resulted in injury (fatal, severe, or moderate). Amid the calls for action against drowsy driving by national agen-cies, it is of paramount importance to explore the key reportable attributes of drowsy driving behaviors and their potential association with crash severity. Method: This study used 5-years (2015-2019) of crash data and utilized the correspondence regression analysis method to identify the key collective associa-tions of attributes in drowsy driving-related crashes and interpretable patterns based on injury levels. Results: Several drowsy driving-related crash patterns were identified through crash clusters - afternoon fatigue crashes by middle-aged female drivers on urban multilane curves, crossover crashes by young dri-vers on low-speed roadways, crashes by male drivers during dark rainy conditions, pickup truck crashes in manufacturing/industrial areas, late-night crashes in business and residential districts, and heavy truck crashes on elevated curves. Several attributes - scattered residential areas indicating rural areas, multiple passengers, and older drivers (aged more than 65 years) - showed a strong association with fatal and sev-ere injury crashes. Practical Applications: The findings of this study are expected to help researchers, plan-ners, and policymakers in understanding and developing strategic mitigation measures to prevent drowsy driving.(c) 2022 National Safety Council and Elsevier Ltd. All rights reserved.
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