An evaluation of the passing process through road - vehicle parameters assessment
DOI: 10.1186/s12544-023-00582-5
archive: archived pipeline: cataloged verified
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Summary
This study investigates the interaction between vehicle dynamics and road geometry during passing maneuvers on two-lane rural roads, aiming to standardize passing sight distance (PSD) assessments for Advanced Driver Assistance Systems (ADAS). The research addresses the limitations of current design guidelines, which often rely on constant speed assumptions and fixed speed differentials, by developing a model that accounts for variable acceleration and specific vehicle capabilities. The methodology utilizes a computationally intensive vehicle dynamics model that calculates instantaneous acceleration based on parameters such as horsepower, tire-road friction, road grade, and vehicle mass. This model was validated against field measurements collected from instrumented vehicles (Toyota Yaris and Toyota CH-R) using accelerometers and machine-vision cameras to track relative distances during passing maneuvers. To make the findings practical, the authors derived statistical lognormal models aligned with German rural road design guidelines (RAL 2012), analyzing combinations of four critical parameters: vehicle horsepower rates, the speed differential between the passed vehicle and the posted speed ($\Delta V$), peak friction supply coefficients, and road grade values. The results indicate that the speed differential ($\Delta V$) is the dominant factor influencing PSD, particularly when the difference is below 20 km/h. The analysis revealed that vehicles with lower horsepower rates perform identically to those with higher horsepower when driven at impending skid conditions (utilizing less than 100% of available power). However, if a vehicle reaches its maximum horsepower utilization early in the maneuver, it requires the same PSD regardless of improved friction conditions, unless it outperforms the baseline during the process. The lognormal modeling approach proved efficient in predicting PSDs based on these interactions. The study concludes that while advanced vehicle-to-infrastructure communication is necessary for integrated guidance, this research provides a foundational paradigm for standardizing the passing process. By moving beyond static assumptions to dynamic vehicle-road interactions, the findings support the development of more accurate PSD predictions and safer passing zone designs, facilitating the deployment of ADAS in complex rural environments.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-20 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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