A Review of Driving Simulation Technology and Applications
DOI: 10.1109/ojvt.2020.3036582
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Summary
This review paper examines the technology, architecture, and applications of driving simulation, a tool widely used in automotive industry and academia for vehicle design, research, and testing. The authors aim to provide a comprehensive guide for resource centers implementing this technology by breaking down the mechanisms behind driving simulators. The motivation stems from the need to reduce development time and financial investment through virtual simulation, which allows for the evaluation of new systems, such as powertrain topologies and active control systems, without the need for physical prototypes. The paper details the architecture of driving simulators, focusing on how they interact with the human perceptual system to create the illusion of driving. It covers the vehicle dynamics model, which uses multibody system approaches to compute dynamic behavior in real-time, and the scenario design, which creates virtual environments with traffic, weather, and terrain. The review extensively discusses visual, auditory, and haptic cues, noting that visual systems have evolved from analog video to high-fidelity digital graphics using engines like Unreal Engine, while auditory cues utilize wave table methods for realistic cabin noise. A significant portion is dedicated to motion cueing algorithms, comparing classical washout filters, adaptive filters, optimal filters, and Model Predictive Control (MPC). The authors highlight that MPC offers better workspace utilization and automated tuning but requires complex modeling and significant computational power. Key findings include the critical role of the human vestibular system in motion perception and the importance of multi-sensory integration. The paper notes that adding auditory cues to visual ones enhances the illusion of motion, and that high-fidelity visual systems significantly impact driver behavior and situation awareness. Regarding motion systems, the review identifies the 6-DOF hexapod as the standard configuration and explains that MPC algorithms, potentially combined with neural networks, are promising for optimizing motion cueing in compact simulators. The authors also observe that while head-mounted devices are emerging, screen-based projection remains preferable for most applications due to better velocity perception and field of view. The significance of this work lies in its comprehensive overview of state-of-the-art technologies and their applications, including driver-centered studies, chassis and powertrain design, and autonomous systems development. By detailing the interdependence of simulator components and human perception, the paper provides a foundational understanding for researchers and engineers. It concludes that while simulation technology has advanced significantly, challenges remain in real-time computation and the accurate modeling of human perception, particularly in motion cueing. The review serves as a valuable resource for understanding the current landscape of driving simulation and identifying areas for future improvement.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-17 |
| archive | success | unpaywall | — | — | 2 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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Information type
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- Methodological Resource: tool software, validation psychometrics
- Theoretical Contribution: computational model