Over-speeding trend across self-reported driving aberrant behaviors: A simulator study
DOI: 10.3389/fpsyg.2022.1028791
archive: archived pipeline: cataloged verified
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Summary
This study investigates the relationship between self-reported driving aberrant behaviors and actual over-speeding performance in a simulated environment. Motivated by the prevalence of speeding as a primary cause of road accidents and the need to distinguish between intentional violations and unintentional mistakes, the authors aimed to validate the utility of integrating subjective self-report data with objective kinematic metrics. Specifically, the research sought to determine if scores from the Driver Behavior Questionnaire (DBQ) correlate with risky driving behaviors, particularly over-speeding, observed during a virtual driving task. The experiment involved 79 licensed drivers aged 18 to 35 who completed an online survey and a simulated driving session using a Honda Riding Trainer (HRT) moped simulator. Participants first filled out the Italian version of the DBQ, which measures four categories of aberrant behavior: aggressive violations, ordinary violations, errors, and lapses. They then completed a 15-minute simulated drive through virtual road environments featuring risky scenarios. The simulator recorded 18 kinematic variables, including acceleration, speed, braking frequency, and specific over-speeding metrics. Data analysis included Pearson correlations between DBQ scores and simulator variables, a k-means cluster analysis to categorize drivers into “Prudent” and “Imprudent” groups based on kinematic performance, and a MANOVA to compare these clusters across DBQ and speeding variables. The results demonstrated significant positive correlations between self-reported DBQ scores and objective performance variables, particularly regarding acceleration, speed, and over-speeding. Cluster analysis identified two distinct groups: 45 “Prudent” drivers and 34 “Imprudent” drivers. The Prudent group exhibited lower acceleration, lower speeds, fewer accidents, and better overall performance evaluations. The MANOVA confirmed that the Cluster factor significantly differentiated participants, with the Imprudent group showing significantly higher values in mean acceleration, speed, and all over-speeding metrics. Furthermore, the Imprudent cluster scored significantly higher on the DBQ scales for Aggressive Violations and Ordinary Violations. These findings indicate a strong correspondence between self-reported risky attitudes and actual reckless performance in the simulator. The study concludes that an integrated approach combining self-report questionnaires and driving simulators effectively identifies driving styles and links them to specific aberrant behaviors. The results support the validity of the DBQ, particularly its scales for Ordinary Violations and Lapses, as predictors of over-speeding behavior. By demonstrating that simulator data converges with self-reported data, the authors argue that this methodology can enhance the design of targeted intervention and training programs. Such programs can address the specific psychological origins of risky behavior—whether intentional violations or unintentional mistakes—to promote road safety and reduce accident rates.
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 | Crossref | — | — | 1 | 2026-06-07 |
| archive | success | canonical_url | — | — | 1 | 2026-06-09 |
| extract | success | pdftotext | — | — | 2 | 2026-06-09 |
| 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 |
| promote | success | — | — | — | 1 | 2026-06-07 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-09 |
| tag | success | vector_similarity | — | — | 8 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-09 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- dbq psychometrics
- human error taxonomy
- sex gender
- cultural cross national
- simulator validity fidelity
- speed choice
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
- Methodological Resource: validation psychometrics