The Prevalence and Impact of Drowsy Driving
archive: archived pipeline: cataloged verified
Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)
Summary
This study addresses the lack of recent, reliable data on the prevalence of drowsy driving and its contribution to motor vehicle crashes in the United States. While drowsiness is a known factor in aviation and maritime accidents, estimates for highway crashes have varied widely and relied on outdated studies. The research aims to provide updated national estimates of how frequently drivers experience drowsiness and the proportion of crashes involving drowsy drivers, distinguishing between self-reported behavior and crash involvement. The study employed two distinct methods. First, a nationally representative telephone survey of 1,728 U.S. drivers was conducted in 2010 to assess self-reported prevalence. Respondents were asked about instances of falling asleep while driving and driving while too sleepy to keep their eyes open. Second, the study analyzed crash data from the National Automotive Sampling System Crashworthiness Data System (NASS CDS) for crashes occurring between 1999 and 2008 involving towed passenger vehicles. Because 45% of driver attention records in the crash data were coded as "unknown," the researchers used multiple imputation—a statistical technique—to estimate the likelihood that these drivers were drowsy based on other crash and driver characteristics, such as time of day, injury severity, and demographics. The survey results indicated that 41.0% of drivers admitted to having fallen asleep or nodded off while driving at some point in their lives, with 11.0% reporting this within the past year and 3.9% within the past month. Additionally, 26.6% of drivers reported driving while so sleepy they had difficulty keeping their eyes open in the past month. Younger drivers (ages 16–24) and males were significantly more likely to report these behaviors. Regarding crash involvement, the analysis estimated that 7.0% of all crashes involving a towed passenger vehicle involved a drowsy driver. This proportion increased with crash severity: 13.1% of crashes resulting in hospital admission and 16.5% of fatal crashes involved a drowsy driver. Drowsy driving crashes were disproportionately single-vehicle lane-departure incidents, occurred more frequently between 11 PM and 6:59 AM, and were more common on weekends. Male drivers and those traveling alone were also more likely to be drowsy in crashes. The findings suggest that drowsy driving is a significant contributor to motor vehicle crashes, particularly severe and fatal ones, affecting roughly one in six fatal crashes. The study highlights that previous estimates likely underestimated the problem by failing to account for unknown attention statuses in crash data. By utilizing multiple imputation, this research provides a more robust assessment of drowsiness prevalence, indicating that drowsy driving is a widespread issue with serious safety implications, comparable in magnitude to other well-documented crash factors like speeding or distraction.
Key finding
After multiple imputation of missing driver attention status in NASS CDS data (1999–2008), an estimated 7.0% of towed passenger-vehicle crashes, 13.1% of hospital-admission crashes, and 16.5% of fatal crashes involved a drowsy driver; in the 2010 survey, 41% of U.S. drivers reported ever falling asleep while driving and 11% within the past year.
Methodology
mixed_methods
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_aaa_foundation on 2026-05-23 (9 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | aaa_foundation | — | — | 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 | skipped | pubmed | — | — | 5 | 2026-05-27 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 18 | 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
- incidence prevalence
- drowsiness detection algorithms
- sleep deprivation
- drowsy as impairment
- truck driver fatigue
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: observational prevalence, crash risk outcomes
- Methodological Resource: dataset resource