Countermeasures That Work – Drowsy Driving [Traffic Tech]
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Summary
This document, part of the National Highway Traffic Safety Administration’s (NHTSA) "Countermeasures That Work" series, addresses the traffic safety problem of drowsy driving. It aims to assist State Highway Safety Offices in selecting evidence-based countermeasures. The paper highlights that sleepiness impairs cognition and task performance, increasing crash risk through both falling asleep at the wheel and degraded driving performance, such as slowed reaction times and poor decision-making. While NHTSA’s Fatality Analysis Reporting System (FARS) recorded 703 drowsy-driving-related fatal crashes in 2018, the authors note that these figures likely underreport the true prevalence due to difficulties in post-crash investigation, driver reluctance to disclose fatigue, and inconsistent reporting practices across jurisdictions. Research using multiple imputation methodologies suggests that up to 21% of fatal crashes may involve drowsy driving. Demographic data indicates that male, younger, and Hispanic or non-white drivers are more likely to report drowsy driving incidents. Risk factors include irregular work hours, shift work, untreated sleep disorders, and insufficient sleep. The paper evaluates behavioral countermeasures based on research-supported effectiveness ratings. It identifies only one countermeasure that meets the criteria for being consistently effective across situations: Graduated Driver Licensing (GDL) requirements for beginning drivers, specifically nighttime driving restrictions. Research demonstrates that these restrictions reduce crash exposure for teen drivers during hours when drowsy driving is most likely. Although nearly all states implement such restrictions, the specific hours vary widely, ranging from 6 p.m. to 6 a.m. in the most restrictive states to 1 a.m. to 5 a.m. in the least restrictive. The document notes that restrictions starting at or before 10 p.m. yield greater reductions in crash rates, though 11 p.m. and midnight are the most common start times. Effectiveness may be undermined if drivers perceive the risk of penalty for non-compliance as low, suggesting that both parental enforcement and law enforcement support are necessary. The significance of these findings lies in the limited availability of proven countermeasures for drowsy driving. The authors conclude that addressing the issue is difficult for safety officials. For drivers already on the road, the most effective strategy is pulling over for a 15- to 20-minute nap or changing drivers. Infrastructure improvements, such as rest areas and rumble strips, also help reduce crashes. Additionally, employer-based prevention programs are identified as promising interventions, particularly for high-risk groups like shift workers and commercial drivers. These programs can include training on sleep health, adherence to hours-of-service rules, and fatigue risk management systems to improve scheduling and reduce risk.
Key finding
Graduated driver licensing nighttime restrictions are the only countermeasure identified as consistently highly effective for reducing drowsy-driving crashes among beginning drivers.
Methodology
review
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
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.
- drowsiness
- sleep deprivation
- truck driver fatigue
- shift work driving
- drowsiness detection algorithms
- 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).
- Empirical Findings: physiological data, observational prevalence
- Theoretical Contribution: theory or model