Driving on Rough Surface Requires Care and Attention
DOI: 10.1016/j.trpro.2017.03.008
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Summary
This study investigates the cognitive demands placed on drivers by road surface roughness, specifically examining whether driving on poor-quality surfaces consumes more central attentional resources than driving on smooth surfaces. While previous research established that roughness negatively impacts vehicle speed, ride comfort, and control, this work addresses the less understood cognitive implications. The authors hypothesized that as road quality deteriorates, the increased attentional load required for driving would interfere with the driver’s ability to process secondary stimuli, thereby compromising safety. To test this hypothesis, the researchers conducted a dual-task experiment using a high-fidelity driving simulator (KITDS) capable of reproducing vehicle vibration and motion. Nineteen participants performed simulated driving while concurrently completing a tone discrimination task. The primary variable was road roughness, defined by the International Roughness Index (IRI), with three levels: smooth (IRI ≈ 1 mm/m), rough (IRI ≈ 6 mm/m), and very rough (IRI ≈ 12 mm/m). During the drive, participants listened to one of three tones via headset and verbally classified the pitch. Reaction times (RTs) and error rates in the tone task were measured to assess interference. The experimental design ensured that auditory and verbal modalities were used for the secondary task, isolating central cognitive interference from perceptual or motor conflicts. The results demonstrated a clear relationship between road roughness and cognitive performance. As the IRI increased, error rates in the tone discrimination task increased significantly and linearly, rising from approximately 2% on smooth surfaces to 5% on very rough surfaces. Conversely, reaction times tended to decrease as roughness increased, with RTs on the very rough surface being significantly faster than on the other two conditions. Statistical analysis confirmed a significant main effect of IRI on error rates and a near-significant effect on RTs. The authors interpret these findings through the lens of limited central attentional resources. The increase in errors indicates that drivers have fewer cognitive resources available for secondary tasks when navigating rough surfaces. The decrease in reaction times suggests a speed-accuracy trade-off; drivers prioritize the primary driving task for safety and attempt to discharge the secondary task quickly to minimize interference. The study concludes that functionally compromised road surfaces impair driver cognition, reducing the accuracy with which drivers monitor and interpret potential dangers, such as pedestrians or traffic signals. This highlights that road roughness is not merely a physical or comfort issue but a critical safety factor that directly degrades driver performance and situational awareness.
Key finding
As road surface roughness increases, drivers exhibit higher error rates and faster reaction times in secondary tasks, indicating increased demand on central attentional resources for driving.
Methodology
simulator
Sample size: 19
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-28 |
| archive | success | openalex | — | — | 9 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | — | — | — | 1 | 2026-05-28 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 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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