Strategies to Mitigate Wrong-way Driving Incidents on Arterials
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Summary
This study addresses the critical safety issue of wrong-way driving (WWD) incidents on arterial roads, a problem historically overshadowed by research focused on freeways. While freeway WWD crashes often receive more media attention due to their severity, the research highlights that WWD events are significantly more frequent on non-limited access facilities. The primary motivation was to develop a scenario-based mitigation approach to identify which arterial corridors in Florida are prone to WWD incidents and to determine specific incident categories requiring intervention. The complexity of mitigating WWD on arterials stems from the numerous access points, making it difficult to deploy countermeasures at every potential entry location. The researchers analyzed five years of crash data (2012–2016) from state-maintained non-limited access facilities in Florida. Initially, 2,879 crashes were identified as potential WWD events; however, detailed reviews of police reports confirmed that only 1,890 (65.6%) were actual WWD crashes. The methodology involved descriptive statistical analysis and Geographic Information System (GIS)-based spatial clustering to identify the top 10 WWD crash hotspots within each Florida Department of Transportation (FDOT) district. These hotspots were determined based on crash frequency and Equivalent Property Damage Only (EPDO) scores. The study also examined roadway geometric factors, demographic characteristics, and the presence of warning signs and lighting. Key findings revealed that WWD crashes on arterials are severe, with nearly 7% resulting in fatalities and 52.5% involving injuries. Over 50% of crashes occurred at or near intersections, with 38% of wrong-way drivers turning incorrectly at signalized intersections. Impairment was a major factor, with 36% of crashes involving intoxicated drivers and 63.1% of fatal crashes linked to intoxication. Drivers aged 65 and older, though involved in only 16% of crashes, experienced a high fatality rate. Environmental conditions played a significant role, as over 55% of crashes occurred in dark conditions, and corridors without street lighting or WWD warning signs exhibited higher crash severity. The identified hotspots accounted for 37.1% of all WWD crashes during the study period. The significance of this research lies in its provision of data-driven strategies for mitigating WWD on arterials, moving beyond the traditional focus on freeways. The study advocates for a holistic approach utilizing the "4 E’s" of traffic safety: Engineering, Education, Enforcement, and Emergency Response. It recommends specific countermeasures, such as improving signage and lighting at identified hotspots, and suggests public outreach activities involving stakeholders like law enforcement and safety advocates. By pinpointing high-risk corridors and contributing factors, the findings support near-term and long-term planning directives to reduce the frequency and severity of WWD incidents on non-limited access facilities.
Key finding
Over 50% of wrong-way driving crashes on Florida arterials occurred at or near intersections, and 36% of these incidents involved intoxicated drivers.
Methodology
dataset
Sample size: 1890
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.
- incidence prevalence
- rail grade crossings
- roadway lighting effects
- naturalistic crash near crash
- pre crash contributing factors
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