The NHTSA & NCSDR Program to Combat Drowsy Driving: A Report to Congress on the Collaboration between National Highway Traffic Safety Administration (NHTSA) and the National Center on Sleep Disorders Research (NCSDR)

NHTSA · 1999 · ROSA P / National Center on Sleep Disorders Research (National Heart, Lung, and Blood Institute)

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Summary

This report details the collaborative program between the National Highway Traffic Safety Administration (NHTSA) and the National Center on Sleep Disorders Research (NCSDR) to combat drowsy driving, mandated by Congress in the FY 1996 and FY 1997 appropriations bills. The initiative was motivated by data indicating approximately 56,000 annual crashes involving driver drowsiness, resulting in 40,000 nonfatal injuries and 1,550 fatalities, though these figures were acknowledged as underestimates. The program aimed to analyze the role of fatigue, sleep disorders, and inattention (FSDI) in highway crashes and develop educational countermeasures. The program comprised seven component projects focusing on research, material development, implementation, and evaluation. An expert panel convened by NCSDR reviewed literature to identify risk factors, crash characteristics, and high-risk populations, concluding that young males (ages 16–29), shift workers, and individuals with untreated sleep disorders were most vulnerable. To gather real-world data, NHTSA’s Vehicle Research and Test Center installed portable data acquisition systems in the private vehicles of 10 volunteers, collecting over 100 hours of video and engineering data to identify drowsy and inattentive driving behaviors. Concurrently, Harvard University conducted focus groups with young males and shift workers to determine motivational approaches for educational campaigns. Findings from the focus groups revealed that while young males were aware of drowsy driving risks, they were largely unwilling to change their sleep or driving habits. In contrast, shift workers expressed a strong desire to improve their sleep quality but cited workplace barriers, such as poor lighting and lack of food services during night shifts. Consequently, the program prioritized shift workers as the primary target audience for its educational campaign. Materials were developed for distribution through employers, including brochures, posters, and videos, with $200,000 allocated for mini-grants to support implementation. Additionally, supplementary materials were distributed to high school students via Scholastic Magazine to address youth audiences. The report concludes that accurately quantifying fatigue-related crashes remains difficult due to the lack of a measurable biological test for sleepiness at crash sites. However, the collaboration successfully established a framework for targeted education. The program emphasized that shift workers and young males are critical demographics for intervention. By late 1999, the educational materials for shift workers were ready for distribution, with implementation grants expected to begin in early 1999. The report also outlined future plans to address long-distance driving by young males and public education regarding shoulder rumble strips, which were identified as an effective countermeasure reducing drive-off-the-road crashes by 30 to 50 percent.

Key finding

Focus group analysis determined that shift workers were motivated to change sleep routines to reduce crash risk, whereas young males accepted drowsy driving risks as part of their lifestyle, leading the program to prioritize educational countermeasures for shift workers.

Methodology

mixed_methods

Sample size: 10

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• truck driver fatigue
• sleep deprivation
• drowsiness
• drowsiness detection algorithms
• shift work driving
• drowsy as impairment

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Applied Guidance: countermeasure evaluation
• Empirical Findings: physiological data
• Methodological Resource: dataset resource