Driver Behaviors at Level Crossings from Fixed and Moving Driving Simulators

Kim, Inhi; Larue, Gregoire; Ferreira, Luis; Rakotonirainy, Andry; Shaaban, Khaled · 2018 · Crossref

DOI: 10.1016/j.procs.2018.04.018

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Summary

This study addresses the lack of comparative research between fixed and moving driving simulators in the context of railway crossing safety. While driving simulators are widely used as safe, cost-effective alternatives to field studies for evaluating safety devices, it remains unclear how the physical properties of different simulator types influence driver behavior. The authors specifically investigated whether fixed-base and advanced moving-base simulators yield different results when assessing driver responses to two warning devices: a passive stop sign and an active in-vehicle audio warning system. The experimental design utilized data from two separate projects funded by the CRC for Rail Innovation. One group of 24 participants (ages 17–66) used a fixed simulator at the University of Queensland, while another group of 20 participants (ages 19–59) used a moving simulator with a six-degree-of-freedom motion platform at Queensland University of Technology. Both groups navigated simulated rural two-lane roads approaching level crossings equipped with either a stop sign or an in-vehicle audio warning triggered 21 seconds before train arrival. The study analyzed three indicators: compliance rates, speed profiles, and braking reaction times. Speeds were measured at specific distances from the crossing for stop signs (80, 50, and 20 meters) and at specific time intervals after the audio warning started (2, 3, and 4 seconds). The results revealed distinct differences in driver behavior depending on the warning type and simulator used. For crossings with stop signs, speed profiles were statistically identical between the two simulators at most distances, except when no train was present and the vehicle was within 20 meters of the crossing, where fixed simulator drivers maintained higher speeds. However, for the in-vehicle audio warning system, drivers in the fixed simulator reacted significantly slower than those in the moving simulator. Statistical analysis showed that vehicle speeds were higher in the fixed simulator two and three seconds after the warning initiated, regardless of train presence. By four seconds after the warning, speed distributions between the two simulators converged and were no longer statistically different. The study concludes that simulator type influences immediate driver reactions to active warnings, with fixed simulators eliciting slower initial responses compared to moving simulators. Despite these initial differences, the authors suggest that fixed simulators remain a viable and cost-effective alternative for railway crossing safety research, particularly since behaviors converge after a few seconds. The findings highlight the importance of considering simulator characteristics when interpreting data from safety device evaluations, noting that results may vary across different road types or locations. This work serves as a preliminary comparison, advocating for careful experimental design when selecting simulator types for future traffic safety studies.

Key finding

Drivers in fixed driving simulators reacted more slowly to in-vehicle audio warnings than those in moving simulators during the first few seconds, though their behaviors converged after four seconds and remained similar for stop sign scenarios.

Methodology

simulator

Sample size: 44

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.

• rail grade crossings
• simulator validity fidelity
• simulator sickness
• simulator training transfer

Information type

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• Methodological Resource: tool software, validation psychometrics
• Theoretical Contribution: computational model