Investigation of contributing factors regarding wrong-way driving on freeways.
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Summary
This study investigates the contributing factors behind wrong-way driving crashes on freeways in Illinois, aiming to develop cost-effective countermeasures to reduce these severe incidents. Wrong-way driving is a persistent safety issue, responsible for approximately 350 fatalities annually in the United States. In Illinois alone, 217 such crashes occurred between 2004 and 2009, resulting in 44 deaths, 248 injuries, and an estimated annual economic loss of $11.5 million. The research was motivated by the need to understand the specific causes of these errors and to identify effective engineering, educational, enforcement, and emergency response strategies. The researchers conducted a comprehensive literature review of best practices from various U.S. states and international jurisdictions. They analyzed six years of crash data from the Illinois Department of Transportation (IDOT), verifying 217 actual wrong-way crashes out of 632 potential candidates by reviewing hard copies of crash reports. The study employed causal tables, Haddon matrices, and significance tests to identify contributing factors. Additionally, a new ranking method based on recorded or estimated wrong-way entries was used to identify twelve high-frequency crash locations for detailed field reviews. These site-specific assessments evaluated existing signage, pavement markings, and geometric features. The analysis revealed that wrong-way crashes in Illinois predominantly occurred on weekends between midnight and 5 a.m. Alcohol impairment was a primary factor, with approximately 60% of wrong-way drivers identified as driving under the influence (DUI); over 50% were impaired by alcohol, 5% by drugs, and more than 3% had been drinking. Other significant contributing factors included driver age, gender, physical condition, experience, time of day, interchange type, and whether the location was urban or rural. Crash severity was influenced by vehicle type, seat belt use, lighting conditions, roadway alignment, and blood alcohol concentration levels. Field reviews of the twelve selected interchanges identified general issues related to signage and geometry, leading to the development of site-specific countermeasures. The study concludes that wrong-way crashes are driven by a combination of human factors, particularly alcohol impairment and age-related issues, and infrastructure deficiencies. The findings support the implementation of targeted countermeasures across the "4 E’s" framework: engineering improvements to signage and interchange design, education campaigns, enforcement of DUI laws, and enhanced emergency response protocols. By addressing these specific contributing factors and implementing the proposed site-specific and general countermeasures, transportation agencies can significantly reduce the frequency and severity of wrong-way driving crashes.
Key finding
Alcohol impairment, driver age, gender, physical condition, driver experience and knowledge, time of day, interchange type, and urban versus rural location were identified as significant factors contributing to wrong-way crashes on Illinois freeways.
Methodology
dataset
Sample size: 217
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
- rail grade crossings
- perceptual countermeasures
- roadway lighting effects
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