A High Fidelity Driving Simulator as a Tool for Design and Evaluation of Highway Infrastructure Upgrades

Kelly, Michael J.; Lassacher, Suzanne; Shipstead, Zach · 2007 · ROSA P / Montana. Dept. of Transportation. Research Programs

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Summary

This study evaluates the utility of high-fidelity driving simulation as a tool for the design and formative evaluation of highway infrastructure upgrades, specifically focusing on safety countermeasures for US Highway 191 in Montana. The research was motivated by a spike in fatal crashes on the Gallatin Canyon section of US 191, a scenic mountain highway characterized by sharp curves, narrow right-of-ways, and unfamiliar drivers. Because physical deployment of safety systems is costly and difficult to modify, the authors sought to demonstrate that interactive visualization allows engineers to refine designs early in the development process. The primary objective was to test driver responses to variable speed limits posted on virtual dynamic message signs (DMS) to assess their effectiveness in promoting voluntary compliance with safe speeds. The methodology utilized the Western Transportation Institute’s DriveSafety 500C fixed-base simulator, which provides a 160-degree field of view and physics-based vehicle dynamics. Researchers created a custom simulation of approximately 22 miles of US 191 using “as-built” engineering plans, topographic maps, and video footage to ensure high fidelity. Fifteen licensed drivers (ages 20–59) participated in two testing sessions. To mitigate simulator adaptation syndrome, participants underwent acclimation training and strict screening protocols. During the test drives, participants were assigned to one of three conditions: a control group with no posted speed limits, a group with a 60 MPH limit posted on a virtual DMS, and a group with a 50 MPH limit posted on a virtual DMS. Driver performance data, including speed and lane position, were recorded at 15 Hz across various roadway geometries such as straight sections, curves, and bridges. The results indicated that the simulation approach successfully captured distinct behavioral changes based on posted limits. There was little difference in driving behavior between the control group (85th percentile speed of 53.15 MPH) and the 60 MPH limit group (85th percentile speed of 53.65 MPH). However, drivers exposed to the 50 MPH limit reduced their speeds by approximately 6 MPH, achieving an 85th percentile speed of 47.65 MPH. Additionally, drivers in the 50 MPH condition exhibited decreased variation in lane position, demonstrating fewer and smaller deviations from the lane center compared to other groups. All participants completed the trials without dropping out due to simulator sickness, validating the efficacy of the institute’s adaptation protocols. The study concludes that high-fidelity driving simulators offer a cost-effective and flexible platform for the formative evaluation of transportation safety countermeasures. By allowing engineers to visualize and test prototype deployments, such as dynamic message signs, before physical installation, significant resources can be saved through early design refinement. The specific findings regarding variable speed limits suggest that lower posted limits on DMS can effectively reduce driver speed and improve lane keeping precision, providing empirical support for their use in challenging roadway environments. This approach supports the broader application of simulation in transportation engineering to optimize safety and operational efficiency.

Key finding

Drivers with a posted 50 MPH limit reduced their speeds by approximately 6 MPH and showed decreased variation in lane position compared to those with no posted limits or a 60 MPH limit.

Methodology

simulator

Sample size: 15

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• simulator validity fidelity
• simulator training transfer
• perceptual countermeasures
• simulator sickness
• rail grade crossings
• work zones

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Methodological Resource: validation psychometrics, tool software, dataset resource