Driver Response to Phase Termination at Signalized Intersections at Signalized Intersections: Are Driving Simulator Results Valid?

Swake, Joshua; Jannat, Mafruhatul; Islam, Muhammad; Hurwitz, David S · 2013 · Crossref

DOI: 10.17077/drivingassessment.1501

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Summary

This study investigates the validity of using high-fidelity driving simulators to analyze driver responses to phase termination at signalized intersections, specifically focusing on Type-II dilemma zones. These zones represent roadway segments where drivers struggle to decide whether to stop or proceed when a circular yellow (CY) indication begins. While simulators offer a safe and efficient method for data collection, their results require rigorous validation against naturalistic field observations and test-track experiments to ensure they accurately reflect real-world behavior. The research aims to determine if simulator-derived data regarding driver decision-making, deceleration rates, and brake-response times are statistically comparable to established empirical datasets. The experiment utilized the Oregon State University driving simulator, featuring a full Ford Fusion cab mounted on a pitch motion system to accurately model acceleration and braking. Thirty participants, predominantly young adults, navigated a figure-eight course with two speed conditions: 45 mph and 55 mph. Drivers encountered the CY indication at 11 different Time-to-Stop-Line (TTSL) values ranging from 1 to 6 seconds. To prevent participants from deducing the study’s purpose, they performed texting tasks on horizontal curves away from the intersections. Data on speed, position, and acceleration were recorded at 15 Hz. The resulting metrics were compared against previous studies by Rakha et al., Hurwitz et al., Gates et al., and others using statistical tests, including Kolmogorov-Smirnov tests and confidence interval analyses. The results indicate that driving simulator data closely aligns with field and test-track observations. Regarding decision-making, all drivers proceeded through the intersection when the TTSL was 2 seconds or less, while 93% stopped when the TTSL was 4.5 seconds or greater. Statistical analysis showed no significant difference between the stopping probability distributions in this simulator study and those from Hurwitz et al.’s field study, though Rakha et al.’s test-track data showed a shift likely due to lower operating speeds. Deceleration rates averaged 11.7 ft/s², falling within the range of previous studies and showing no statistical difference from Gates et al.’s findings. Similarly, mean brake-response times were 0.96 seconds, consistent with values reported by Gates et al., Caird et al., and Gazis et al., with no statistical differences detected in mean comparisons. The study concludes that high-fidelity driving simulators are valid tools for evaluating and modeling driver behavior in Type-II dilemma zones on tangent roadway segments. The strong correspondence between simulator data and established field and test-track datasets supports the use of simulation for analyzing critical safety metrics such as stopping decisions, deceleration, and reaction times. This validation encourages the continued use of simulators for traffic engineering research, provided that experimental designs are carefully scoped and results are cross-validated with alternative experimental mediums.

Key finding

Driving simulator data regarding driver decision-making, deceleration rates, and brake response times at signalized intersections are statistically comparable to data obtained from field observations and test-track experiments.

Methodology

simulator

Sample size: 30

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
• braking response
• simulator training transfer
• simulator sickness

Information type

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