Preliminary Evaluation of Lead Time Variation for Rail Crossing In-Vehicle Alerts

Nadri, Chihab; Zieger, Scott; Lautala, Pasi; Nelson, David; Jeon, Myounghoon Jeon · 2022 · Crossref

DOI: 10.21785/icad2022.031

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Summary

This study addresses the lack of established guidelines for In-Vehicle Auditory Alert (IVAA) lead times specifically for Highway-Rail Grade Crossings (HRGCs). While IVAAs have proven effective in other automotive contexts, such as collision warnings and automated vehicle take-over requests, HRGCs present unique risk profiles and approach behaviors. The authors sought to determine whether existing lead time recommendations are appropriate for rail crossings or if context-specific adjustments are necessary to optimize driver safety and performance. To investigate this, the researchers conducted a small-scale driving simulator study using the National Advanced Driving Simulator. Eleven college-aged participants with valid driver’s licenses and normal hearing completed three experimental drives in a counterbalanced within-subjects design. Each drive included four HRGCs, varying by location (urban vs. rural) and type (active vs. passive). The study manipulated the alert state across three conditions: a control condition with no IVAA, a condition with a seven-second lead time (calculated based on prevailing speed limits), and an advanced warning condition (triggered at standard rail crossing warning locations). The auditory alert consisted of two earcon dings and a speech message instructing drivers to slow down and look left and right. Data collected included vehicle speed metrics, gaze behavior recorded via Tobii eyetrackers, and subjective workload scores using the NASA-TLX questionnaire. The results indicated that the seven-second lead time condition significantly improved specific safety metrics compared to the no-alert condition. Participants in the seven-second condition exhibited statistically higher temporal demand workload, suggesting increased cognitive engagement with the crossing threat. Crucially, this condition resulted in significantly lower average and minimum vehicle speeds near the crossings compared to the no-alert condition. Gaze behavior also improved significantly; participants in the seven-second condition were far more likely to look left and right at the crossing than those in the no-alert condition. While the advanced warning condition showed numerically similar improvements in speed and gaze, the differences between the seven-second and advanced warning conditions were not statistically significant. Additionally, drivers traveled faster and looked less frequently at active crossings compared to passive ones, likely due to a false sense of security from deactivated active signals. The study concludes that IVAAs effectively enhance driving performance and gaze behavior at HRGCs. Although statistical differences between the seven-second and advanced warning lead times were not significant, the numerical trends suggest that a seven-second lead time may be more appropriate for HRGCs than longer, generic automotive warnings. The authors attribute the lack of statistical significance between alert types to the small sample size and potential ceiling effects. They recommend future research with larger participant pools and more demanding driving conditions, such as nighttime driving, to further validate the optimal lead time for rail crossing alerts.

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Topics

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• rail grade crossings
• auditory warnings