Cooperative Intersection Collision Avoidance System – Stop Sign Assist : experiments to validate use of an in-vehicle interface design.

Becic, Ensar; Manser, Michael P.; Creaser, Janet; Donath, Max · 2012 · ROSA P / University of Minnesota. Center for Transportation Studies

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Summary

This research report evaluates the transition of the Cooperative Intersection Collision Avoidance System – Stop Sign Assist (CICAS-SSA) from a roadside infrastructure-based warning system to an in-vehicle interface. The study addresses the high fatality rate at rural intersections, where drivers on minor roads must cross high-speed highways. While roadside signs are effective, widespread installation is cost-prohibitive. An in-vehicle system offers a scalable alternative that could provide intersection assistance at any instrumented location. The primary research question was whether an in-vehicle display could effectively aid drivers in selecting safe crossing gaps without imposing excessive cognitive load or causing adverse driving behaviors. The investigation comprised three sequential studies. Study One, conducted in a driving simulator, examined the impact of driver familiarity (instruction level) and cognitive load (secondary tasks) on system usage and intersection crossing performance. Study Two, also in a simulator, compared three different in-vehicle interface designs—varying in complexity and information density—to determine the optimal layout. It also assessed the impact of visibility conditions and compared the in-vehicle system’s efficacy against the roadside version. Study Three was a field test using the optimal design identified in Study Two to evaluate real-world performance and age-related differences between older and younger drivers. Results from Study One indicated that the in-vehicle system improved safety metrics, such as increasing the likelihood of stopping at the median and extending wait times before crossing. Crucially, the system required minimal cognitive resources, as performance did not degrade under cognitively demanding conditions. Study Two found that the most informative interface design yielded the best performance, reducing the probability of accepting critical (unsafe) gaps. This optimal design was identical to the original roadside sign. Benefits were most pronounced under limited visibility conditions, where perceptual demands were high. The in-vehicle system was found to be at least as effective as, and in some cases more effective than, the roadside system, particularly regarding complete stops at the stop sign. The field study confirmed these findings, showing that the in-vehicle CICAS-SSA significantly increased the likelihood of making a complete stop at the stop sign and demonstrated a strong trend toward decreased acceptance of critical gaps. Importantly, the system’s benefits were equivalent for both older and younger drivers, indicating broad applicability across age groups. No negative effects or unintended consequences were observed in the field assessment. The study concludes that implementing an in-vehicle CICAS-SSA is a feasible and effective strategy for enhancing rural intersection safety, offering significant potential benefits without compromising driver performance or imposing excessive cognitive burden.

Key finding

The in-vehicle CICAS-SSA improved intersection crossing performance by increasing complete stops at stop signs and reducing the probability of accepting critical gaps, with benefits observed across both older and younger driver age groups.

Methodology

mixed_methods

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

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

Topics

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• vru facing ehmi
• ehmi external hmi
• rail grade crossings
• driver vru interaction

Information type

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• Applied Guidance: design guidelines
• Empirical Findings: behavioral performance data
• Methodological Resource: tool software