Constructing a Low-Cost Ground-Vehicle Driving Simulator at an Airport
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Summary
This report evaluates the feasibility of airport personnel constructing and implementing customized, low-cost ground-vehicle driving simulators to improve driver training and reduce vehicle/pedestrian deviations (VPDs). Motivated by prior research demonstrating that virtual environments enhance spatial orientation and route learning, the study aimed to determine if airports could build these simulators independently with minimal external support. The project involved five airports, with four successfully completing the construction process using X-Plane® software and associated modeling tools. The methodology comprised three phases: initial airport familiarization and interviews, technical support during construction, and post-completion interviews. Airport staff were provided with a step-by-step instructional guide and telephone/online support from the Volpe National Transportation Systems Center. Participants spent approximately three to five hours per week over a period of 24 to 34 weeks building their simulators. The total cost for hardware and software was approximately $1,000 per unit. Technical challenges included adapting flight-simulation software for ground vehicles, placing static objects, and ensuring accurate pavement and signage representation. The results indicate that airports of varying sizes could successfully build functional simulators. The level of customization varied significantly; for instance, Charlotte-Douglas International Airport (CLT) achieved high fidelity with detailed textures, curved intersections, and extensive static scenery, while Akron-Canton Regional Airport (CAK) produced a lower-fidelity model with fewer details. Despite the complexity exceeding initial expectations, all participating airports reported positive outcomes. Trainees found the simulators useful for initial and recurrent training, with an average usage of one hour per trainee. Participants believed the simulators would help reduce surface incidents by improving familiarization with airport layouts and signage, particularly in non-movement areas. The study concludes that low-cost simulators are a feasible and beneficial tool for airport vehicle driver training. The findings suggest that such technology can be integrated into training curricula to reinforce classroom instruction and improve navigational skills. Future research is recommended to evaluate the long-term impact on VPD incidence rates, the value of adding air traffic control communications, and the effectiveness of the simulators for non-native English speakers. The report also notes that software updates have since improved usability and realism, further supporting the adoption of this technology.
Key finding
Airports can build their own low-cost driving simulators for vehicle driver training with minimal outside support, requiring approximately three to five hours per week over 25 weeks at a cost of $1,000.
Methodology
field_study
Sample size: 4
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
- Theoretical Contribution: computational model