Comparing Speed Estimations from a Moving Vehicle in Different Traffic Scenarios: Absence versus Presence of Traffic Flow
DOI: 10.1017/s1138741600005941
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
This study investigates how traffic environment influences the accuracy of speed estimation by passengers in a moving vehicle, specifically comparing a closed track with no traffic against real-world interurban traffic scenarios. The research addresses a critical gap in traffic psychology: while previous studies established that drivers generally underestimate their speed, it remained unclear whether findings from controlled, traffic-free environments could be generalized to complex real-world driving conditions. The authors aimed to determine if the presence of other vehicles alters subjective speed perception and to assess whether sex or driving experience affects these estimations. The experiment involved 36 participants (18 male, 18 female; half licensed drivers, half non-drivers) who acted as passengers in an instrumented car. The study employed a mixed design with between-subject variables for sex and driving experience, and within-subject variables for scenario and speed. Participants estimated the vehicle’s speed at nine levels ranging from 40 to 120 km/h across three conditions: a closed circular track, a secondary road with low traffic density, and a highway with medium traffic density. To ensure consistency, the car, estimation method, and participant pool remained constant across conditions. Before each set of trials, participants were provided with standard reference speeds (70 and 100 km/h). The driver maintained uniform speed for approximately nine seconds before signaling the participant to provide a verbal estimate. The results confirmed a general tendency to underestimate speed across all scenarios, consistent with prior literature. However, the magnitude and pattern of errors varied significantly by environment. On the closed track, the mean estimation error was small (–1.90 km/h), and errors decreased as speed increased. The secondary road scenario yielded similar results, with a slightly higher mean error (–3.64 km/h) and a comparable reduction in error at higher speeds. In contrast, the highway scenario produced a distinct pattern: the mean error was substantially larger (–8.10 km/h), and errors increased as speed rose, reaching nearly –9 km/h at 120 km/h. Statistical analysis revealed no significant effects for sex or driving experience on estimation accuracy or reliability. The findings suggest that the presence of parallel traffic flow on highways drastically modifies optical flow patterns, leading to greater inaccuracies in speed perception compared to isolated or low-traffic environments. This implies that drivers on highways are more likely to rely on subjective estimation rather than objective speedometer inspection, increasing the risk of involuntary speed violations due to unawareness of actual speed. The study highlights that while closed-track data may replicate secondary road conditions, it does not accurately predict performance in high-density traffic scenarios. Consequently, the results underscore the importance of considering traffic complexity in road safety research and suggest that highway driving poses a higher perceptual challenge for speed control than previously assumed based on traffic-free studies.
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.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-20 |
| archive | success | unpaywall | — | — | 2 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-25 |
| chunk | success | chunk | — | — | 1 | 2026-06-25 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-25 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
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: observational prevalence, behavioral performance data