Fatal Wrong-Way Crashes on Divided Highways
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Summary
This research brief analyzes the prevalence and risk factors associated with fatal wrong-way crashes on divided highways in the United States. Motivated by the severity of these incidents, which are typically head-on collisions, the study aims to quantify fatalities and identify characteristics that increase the odds of a driver traveling in the wrong direction. The analysis utilizes data from the National Highway Traffic Safety Administration’s Fatality Analysis Reporting System (FARS) covering the period from 2010 to 2018. The methodology employs a matched case-control design, comparing wrong-way drivers against “right-way” drivers involved in the same crashes. This approach controls for environmental variables such as time of day, weather, and road conditions. A crash was classified as wrong-way driving if it occurred on a divided highway or ramp and involved a driver traveling opposite the legal flow of traffic. Conditional logistic regression was used to estimate odds ratios for various risk factors, including blood alcohol concentration (BAC), age, license status, vehicle type, vehicle age, and passenger presence. Since actual BAC data was not available for all drivers, the study used multiply imputed data to estimate impairment levels. The results indicate that between 2010 and 2018, there were 2,921 fatal wrong-way crashes resulting in 3,885 deaths, averaging 430 deaths annually. Wrong-way drivers accounted for 52.8% of these fatalities. Alcohol impairment was a strong predictor, with 60.1% of wrong-way drivers having a BAC of 0.08 g/dL or higher, compared to 11.0% of right-way drivers. The odds of being a wrong-way driver increased with BAC levels, reaching an odds ratio of 18.36 for drivers with a BAC ≥ 0.08 g/dL. Older age was also a significant risk factor; drivers aged 80 and over had an odds ratio of 27.94 compared to those aged 50–59. Conversely, having passengers significantly reduced the odds of wrong-way driving (OR = 0.23). Drivers with suspended, revoked, or expired licenses were four times more likely to be wrong-way drivers than licensed drivers. Additionally, older vehicles (>20 years) and out-of-state licensure were associated with higher and lower odds, respectively, of wrong-way driving. The study concludes that alcohol impairment and advanced age are primary drivers of fatal wrong-way crashes, while passenger presence offers a protective effect. These findings suggest that countermeasures should focus on both driver-based strategies, such as ignition interlocks for impaired drivers, and infrastructure improvements, including signage, geometric design changes, and intelligent transportation systems like Red Rectangular Flashing Beacons. The research highlights the need for targeted interventions to address the specific vulnerabilities of older and impaired drivers to mitigate these severe crashes.
Key finding
Alcohol impairment and advanced age are the strongest predictors of being a wrong-way driver in fatal crashes on divided highways, while having passengers serves as a protective factor.
Methodology
dataset
Sample size: 6470
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 (6 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 | 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.
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- Empirical Findings: crash risk outcomes