Visualization resources for Iowa State University and the Iowa DOT : an automated design model to simulator converter.
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Summary
This report details the development of an automated software tool designed to convert three-dimensional roadway design files from the Iowa Department of Transportation (DOT) into a format compatible with the National Advanced Driving Simulator (NADS) MiniSim. The project was motivated by the inefficiency of existing manual conversion processes, which required specialized expertise, significant time, and were not easily scalable for design iterations. By enabling the direct translation of CAD designs into drivable simulator environments, the tool aims to allow engineers and stakeholders to identify safety and operational flaws early in the design phase, facilitate public outreach, and support human factors research without the high costs associated with traditional simulation setup. The methodology involved creating a converter that processes MicroStation design files, the standard software used by the Iowa DOT. Initial attempts to automatically extract data from visual layers in DWG/DXF formats failed due to data anomalies and missing elements. Consequently, the team shifted to using Extensible Markup Language (XML) exports, specifically LandXML, which contained the necessary geometric data. The conversion pipeline utilizes two primary scripts: XMLtoTRI and XMLtoLRI. XMLtoTRI extracts triangulated irregular network (TIN) data, boundary lines, and breaklines from the XML source using XPath queries, converting them into the NADS Basic geometric EXtract (BEX) format for visual rendering. XMLtoLRI processes logical data to generate the simulator’s computational requirements, such as road centerlines, lateral profiles, and junction connectivity, adhering to the NADS Logical Road Interface (LRI) standards. While the conversion is largely automated, minor manual interventions, such as inserting corridor nodes for road-to-road connections, are required to ensure proper network connectivity. The study successfully demonstrated the conversion of a sample highway diamond-style interchange. The resulting simulator model preserved the identical geometric design features of the original DOT file, appearing initially as a wireframe that could be textured for visual realism. The automated process significantly reduced the time required to create drivable scenarios compared to the months-long manual process previously used. However, the report notes that the current prototype is not yet robust enough for all design types. Non-traditional designs, such as crossover lanes, dynamic lanes, and complex interchange topologies, present challenges that the current algorithm cannot fully handle. Additionally, the tool currently generates surfaces based on model data rather than image textures, and transitions between road segments require further smoothing. The significance of this work lies in its potential to bridge the gap between transportation engineering and driving simulation. By automating the translation of design data, the tool lowers the barrier to entry for using simulators in the design process, allowing for rapid iteration and evaluation of safety performance before construction begins. The authors recommend future development to increase algorithm efficiency, extend compatibility to other simulator platforms, and improve the handling of complex road geometries and texturing. This advancement supports the broader goal of integrating interactive simulation into standard transportation planning workflows to enhance safety and public engagement.
Key finding
The automated converter tool successfully transforms Iowa DOT MicroStation 3D design files into drivable simulator models with identical geometric features, significantly reducing the manual effort required compared to previous methods.
Methodology
modeling
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 (6 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 | — | — | 2 | 2026-06-10 |
| 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-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 24 | 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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- Methodological Resource: tool software, validation psychometrics, dataset resource