Virtual Driving Simulation for Pedal Error Study
DOI: 10.15282/mekatronika.v4i2.8942
archive: archived pipeline: cataloged verified
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Summary
This study addresses the safety risks associated with pedal errors, such as accidental acceleration, by developing a virtual driving simulation to analyze the driving behaviors of Malaysian drivers. Motivated by the need to avoid the safety hazards of naturalistic on-road testing, the researchers collaborated with the Malaysian Institute of Road Safety (MIROS) and ASEAN NCAP to create a controlled environment for studying pedal misapplication. The primary objectives were to determine foot placement on pedals during emergency braking and to measure pedal pressure during both normal driving and emergency scenarios. The methodology involved developing a virtual driving simulator using the Unity 3D game engine and C# programming. The simulation replicated the roads of Universiti Malaysia Pahang (UMP) Pekan at a 1:1 scale to ensure familiarity for the participants, who consisted of 30 drivers aged 20–50 with at least two years of experience. The simulator setup included a steering wheel, pedals, a screen monitor, and specific instrumentation: a webcam for driver reactions, a GoPro camera for foot movement observation, and pressure sensors connected to an Arduino UNO microcontroller to record pedal force. The simulation incorporated six emergency braking scenarios, including sudden pedestrian crossings and traffic light changes. Participants also completed questionnaires regarding their driving habits and experiences. The results indicated that 96.67% of participants were surprised by obstacles, which was identified as a primary factor contributing to pedal misapplication. Approximately 26.67% of participants reported feeling dizzy during the simulation. Analysis of pedal pressure revealed that higher accelerator pressure correlated with higher accident risk; for instance, a participant who collided with a virtual obstacle had applied significantly higher pressure (800–900 bytes) compared to one who braked successfully (600–800 bytes). Crucially, the study found that 6.67% of participants used both legs while driving, placing their left foot on the brake pedal even while accelerating. This two-legged driving behavior resulted in simultaneous pressure on both pedals, whereas one-legged drivers kept the brake pedal pressure at zero during acceleration. The significance of this research lies in its identification of two-legged driving as a high-risk behavior due to the constant friction applied to the brake system and the potential for pedal confusion. The study successfully validated the use of virtual simulation as a safe and effective tool for analyzing driver behavior and pedal mechanics. By demonstrating that surprise and improper foot placement are key contributors to pedal errors, the findings provide actionable insights for driver training and vehicle safety design, particularly regarding the dangers of resting the left foot on the brake pedal in automatic transmission vehicles.
Key finding
Two-legged driving behavior is identified as a high-risk factor because drivers applying pressure with both feet often press the brake pedal simultaneously with the accelerator, increasing the likelihood of pedal error.
Methodology
simulator
Sample size: 30
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-06 |
| archive | success | canonical_url | — | — | 1 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| 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 | 2026-06-06 |
| 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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Information type
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- Methodological Resource: tool software, validation psychometrics
- Theoretical Contribution: computational model