Assessment of the Use of a Driving Simulator for Traffic Engineering and Human Factors Studies

Klee, Harold; Radwan, Essam · 2004 · ROSA P / University of Central Florida. Center for Advanced Transportation Systems Simulation

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Summary

This report assesses the feasibility of using the University of Central Florida’s high-fidelity driving simulator for traffic engineering and human factors research, aiming to provide a safe, economical alternative to field testing. The study comprised two pilot experiments: a traffic engineering investigation into driver gap acceptance at unsignalized intersections and a human factors evaluation of a radar-based Safety Warning System (SWS). The gap acceptance study involved 63 licensed drivers performing left turns from a minor road onto a major road with traffic speeds of 25 mph and 55 mph. The experimental design utilized a specific traffic pattern to determine the minimum acceptable gap for each driver. Results indicated that drivers accepted significantly smaller gaps at higher speeds; the mean critical gap was 7.45 seconds at 25 mph and 5.87 seconds at 55 mph. These findings contradict American Association of State Highway and Transportation Officials (AASHTO) guidelines, which recommend a constant 7.5-second gap regardless of major road speed. The simulator data suggested that AASHTO’s standard is conservative for high-speed scenarios, as drivers adjusted their gap acceptance based on approach velocity. The second study evaluated the effectiveness of an SWS that provided voice and text warnings for hazards such as approaching trains, school buses, and work zones. Ninety-three subjects participated, though the sample was skewed toward younger drivers due to simulator sickness among older participants. Drivers experienced scenarios with and without SWS alerts. Subject questionnaires indicated that the system successfully raised perceived awareness of hazards without causing confusion or distraction. However, participants were undecided regarding perceived safety benefits or whether they would recommend the system. Statistical analysis found no significant differences in responses based on gender or age groups. The report concludes that the UCF driving simulator is a viable platform for applied research in traffic operations and human factors, offering controlled conditions that field tests cannot easily replicate. However, the authors note that future studies must allocate more time for visual database updates and scenario development. They also recommend further investigation into simulator limitations, such as visual system update rates and traffic management software constraints, to define the scope of valid research applications.

Key finding

Drivers accepted a significantly smaller critical gap at 55 mph (5.78 seconds) compared to 25 mph (7.31 seconds), contradicting AASHTO recommendations that gap acceptance is independent of traffic speed.

Methodology

simulator

Sample size: 156

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 sickness
• rail grade crossings
• simulator training transfer
• speed choice
• gap acceptance

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).

• Empirical Findings: behavioral performance data
• Methodological Resource: tool software, validation psychometrics