Driving simulator for evaluating the effects of road geometric design on driver behavior
DOI: 10.24840/2184-0954_003.002_0007
archive: archived pipeline: cataloged verified
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Summary
This document presents the protocol for a systematic review aimed at evaluating how road geometric design influences driver behavior, specifically through the use of driving simulators. The research is motivated by the need to understand the interaction between roadway infrastructure and human factors to improve road safety. While driving simulators offer a controlled environment to test various road configurations without real-world risks, existing literature suffers from inconsistencies in experimental design, participant selection, and data acquisition. These methodological variations hinder the ability to draw evidence-based conclusions about how specific geometric features, such as curve radius or lane width, affect driving performance. Consequently, this review seeks to standardize the evaluation of these studies and synthesize available evidence. The methodology follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) statement. The review targets studies published between 2014 and 2019, accessible in English, that utilize driving simulators to assess the impact of road geometry on driver behavior. The search will cover major multidisciplinary and engineering databases, including Scopus, Web of Science, and TRID. Eligibility criteria exclude studies focusing solely on urban environments, intersections, or specific health conditions like drug usage, to isolate the effects of rural road geometry. Two reviewers will independently screen titles, abstracts, and full texts, with a third reviewer resolving disagreements. Data extraction will capture details regarding simulator specifications, experimental protocols, participant demographics, and outcome measures. A key component of the protocol is a customized quality assessment tool designed to evaluate the rigor of individual studies. This tool assesses simulator suitability based on degrees of freedom and field of view relative to the study’s variables, the use of randomization or counterbalancing for scenarios, sample representativeness, and procedural controls such as practice trials and motion sickness assessments. Studies are classified as weak, moderate, or strong based on their scores. The data synthesis will primarily be narrative, categorized by geometric feature (e.g., horizontal alignment). If sufficient homogeneity exists among high-quality studies regarding specific geometric features and performance outcomes, a quantitative meta-analysis will be conducted to compare results across studies. The significance of this work lies in its potential to clarify the methodological standards required for valid driving simulator research in road safety. By critically reviewing how experiments are designed and implemented, the study aims to identify best practices and highlight inconsistencies in current literature. The findings will provide a structured summary of how specific road design elements affect driver actions, such as speed and lane position. This evidence can inform safer road design strategies and improve the reliability of future simulation studies, ultimately contributing to more effective traffic safety interventions.
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 | 2026-06-05 |
| archive | success | canonical_url | — | — | 1 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-15 |
| clean | success | clean | — | — | 1 | 2026-06-07 |
| chunk | success | chunk | — | — | 1 | 2026-06-07 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-07 |
| promote | success | — | — | — | 1 | 2026-06-05 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-15 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-15 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-15; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- simulator validity fidelity
- simulator sickness
- road geometry
- simulator training transfer
- perceptual countermeasures
- induced exposure
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).
- Methodological Resource: validation psychometrics, tool software
- Theoretical Contribution: computational model