Priority rule signalization under two visibility conditions: Driving simulator study on speed and lateral position
DOI: 10.1016/j.trf.2018.06.011
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Summary
This study addresses a gap in traffic safety research by investigating how different priority rule signalizations and visibility conditions affect driver speed and lateral position at intersections. While previous literature has primarily compared priority-controlled and right-hand priority intersections based on collision rates and right-of-way violations, this research focuses on behavioral metrics—specifically speed and lateral positioning—that are critical risk factors but have been underexplored. The motivation stems from the high incidence of crashes at intersections, particularly in rural areas, and the need to understand whether replacing "priority to the right" rules with controlled priority signs necessarily improves safety. The researchers conducted a driving simulator study using a medium-fidelity fixed-base simulator with 49 participants (after excluding one due to technical issues). The experimental design involved five scenarios, each containing four intersections with one of five priority rules: priority road, priority at next intersection, priority to the right indicated by a sign, priority to the right indicated by a sign plus road marking, and priority to the right without any indication. These scenarios were tested under two visibility conditions: good visibility (no obstacles higher than 1.10 m) and bad visibility (blocked view by hedgerows and trees). Data on speed and lateral position were collected at 14 ms intervals and analyzed using linear mixed models to assess the effects of priority rules and visibility. The results demonstrated significant interactions between priority rules and visibility regarding speed. Drivers exhibited significantly lower speeds when the priority to the right rule was explicitly indicated, particularly when accompanied by road markings, which yielded the lowest speeds under both visibility conditions. Speed reductions were more pronounced under bad visibility. Conversely, drivers maintained higher speeds on priority roads or roads with priority at the next intersection. Regarding lateral position, drivers shifted more toward the center of the road under bad visibility conditions across all priority rules, indicating a defensive driving adaptation to reduced visual information. No significant differences in lateral position were found between the different priority rules themselves. The findings imply that higher levels of control, such as priority-controlled intersections, do not automatically result in improved traffic safety because they may encourage higher approaching speeds. The study concludes that policymakers should not universally replace "priority to the right" intersections with priority-controlled ones, as the latter may fail to induce the speed reductions necessary for safety. Instead, the explicit signalization of priority rules, especially with additional road markings, appears more effective at reducing speed, particularly in conditions of poor visibility. This suggests that road design interventions should focus on promoting cautious speed behavior rather than solely relying on right-of-way hierarchy changes.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-07 |
| archive | success | canonical_url | — | — | 7 | 2026-06-09 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-09 |
| chunk | success | chunk | — | — | 1 | 2026-06-09 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-09 |
| enrich | success | semantic_scholar | — | — | 1 | 2026-06-10 |
| promote | success | — | — | — | 1 | 2026-06-07 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 8 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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