The Role Of Driver Inattention In Crashes; New Statistics From The 1995 Crashworthiness Data System
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Summary
This paper analyzes the role of driver inattention in traffic crashes using data from the 1995 Crashworthiness Data System (CDS), a nationally representative sample of passenger vehicle towaway crashes. The study was motivated by the need for more in-depth causal data than previously available, particularly regarding distraction and drowsiness, and to address the growing concern that new in-vehicle technologies (e.g., cellular phones, navigation systems) increase cognitive and visual workload. The authors aimed to quantify the prevalence of specific inattention types—distraction, "looked but did not see" (LBDNS), and sleepiness—and compare these findings to prior research. The methodology involved statistical analysis of 4,536 unweighted crash files from the 1995 CDS, which includes driver interviews, scene inspections, and medical record reviews. The study focused on a new variable, Driver Distraction/Inattention to Driving (DD/ID). A key precedence rule classified a crash as inattention-related if any involved driver exhibited such behavior. The results were compared against crash variables including severity, weather, speed limits, alcohol involvement, time of day, driver age, and sex. The authors also contextualized CDS findings against the General Estimates System (GES) and previous studies like the Indiana Tri-Level Study. The findings indicate that driver inattention was a causal factor in 25.6% of crashes and 14.9% of driver involvements. Specifically, distraction accounted for 13.3% of crashes, LBDNS for 9.7%, and sleepiness/falling asleep for 2.6%. Sleepiness was heavily overrepresented among drivers aged 25–34 and male drivers, with crashes peaking in early morning hours consistent with circadian rhythms. LBDNS was most prevalent in low-speed limit crashes and among older drivers, particularly during left-turn maneuvers. Distraction-related crashes peaked during morning and evening rush hours. Notably, 45.8% of drivers coded as "attentive" made no avoidance maneuver prior to impact, suggesting potential underreporting of cognitive inattention (e.g., daydreaming), which was not explicitly captured in the CDS coding. The significance of this study lies in its provision of robust, nationally representative data on inattention in towaway crashes, revealing higher involvement rates than some prior narrative-based studies but lower than the Indiana Tri-Level Study. The authors conclude that CDS is a valuable tool for medium-depth causal analysis but note limitations, including high rates of unknown classifications and the exclusion of non-towaway crashes. The study highlights the need for future data collection to better capture cognitive distraction and suggests that current statistics likely undercount the true prevalence of inattention-related crashes.
Key finding
Distraction was involved in 13.3% of crashes, looking but not seeing in 9.7%, and sleepiness in 2.6%, with combined inattention accounting for 25.6% of all towaway crashes.
Methodology
dataset
Sample size: 4536
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.
- pre crash contributing factors
- incidence prevalence
- naturalistic crash near crash
- inattentional change blindness
- causation analyses
- external distraction
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: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource