Virtual Reality Vehicle Simulator Phase 1 [supporting datasets]
archive: archived pipeline: cataloged verified
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Summary
This document serves as a metadata record and dataset description for the "Alaska ATV Simulator for Unity," a resource supporting the final report *Virtual Reality Vehicle Simulator Phase 1*. Funded by the U.S. Department of Transportation and preserved by the Pacific Northwest Transportation Consortium (PacTrans), the dataset was published in February 2022. The primary objective of the underlying project was to develop a virtual reality simulation environment for All-Terrain Vehicles (ATVs) to support driver education and safety research. The dataset provides the technical assets, source code, and digital terrain models necessary to replicate or utilize the simulator. The dataset comprises a single zip collection containing 199 files, categorized into several functional groups. Core components include Unity 19.04 asset files and C# source code, which define the simulator’s logic and physics. The collection also contains original Blender model files and specifications for 3D-printable hardware intended for the VR version of the simulator. A runnable WebGL version of the simulator is included for web-based access. Crucially, the dataset features ultra-high-accuracy Digital Terrain Model mapping data, providing realistic environmental conditions for the simulation. The file structure includes various configuration files (`.json`, `.config`), dynamic-link libraries (`.dll`) for VR integration (such as SteamVR and Oculus plugins), and texture assets (`.png`, `.tif`) for visual realism, including materials for leather, plastic, and terrain surfaces. The technical composition of the dataset reflects a comprehensive development environment. It includes standard Unity engine modules, such as physics, audio, and VR modules, alongside specific plugins for spatial tracking and controller bindings for multiple VR headsets (e.g., Vive, Oculus, Holographic). The inclusion of `.mat` files for materials and `.asset` files for Unity-specific data ensures that the visual and physical properties of the ATV and its environment are preserved. The dataset also contains executable files and log files, indicating a complete, buildable project structure. The metadata explicitly notes that additional data may be available upon request, suggesting the provided files represent the core public release. The significance of this dataset lies in its contribution to transportation safety research and driver education. By providing open access to the source code and high-fidelity terrain models, the resource enables researchers and developers to study ATV dynamics in a controlled, virtual environment. This supports the broader goal of improving safety outcomes through simulation-based training and analysis. The preservation of this dataset by PacTrans and its availability via Harvard Dataverse ensures long-term accessibility for the academic and transportation communities, facilitating reproducibility and further development of VR-based vehicle simulators.
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. Discovered via bulk_ingest_rosap on 2026-05-23 (57 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 94 | 2026-07-02 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-nvidia | summ-v5 | 145 | 2026-07-02 |
| tag | success | vector_similarity | — | — | 24 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-07-03 |
Summary generated by qwen3.6-27b-nvidia on 2026-07-02; verification: verified.
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- Methodological Resource: tool software, dataset resource