Intersection Collision Avoidance System Performance Guidelines

Pierowicz, J.; Jocoy, E.; Lloyd, M.; Pirson, B.; Bittner, A. · 2000 · ROSA P / United States. Joint Program Office for Intelligent Transportation Systems

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Summary

This report details the development and testing of an Intersection Collision Avoidance System (ICAS) designed to mitigate intersection crashes, which constitute approximately 26% of all police-reported crashes in the United States. Motivated by the high frequency of these incidents, the National Highway Traffic Safety Administration (NHTSA) funded this research to evaluate Intelligent Transportation Systems (ITS) countermeasures. The project evolved through three phases, narrowing down from three initial concepts—Driver Advisory, Defensive, and Communication systems—to a vehicle-based "Defensive" system. This final design relies on driver reaction to warnings rather than direct vehicle control or infrastructure-based communication, prioritizing earlier field deployment feasibility. The ICAS testbed integrated three primary subsystems: a Threat Detection System using three discrete radar sensors to identify conflicting vehicles; a Geographical Information System/Differential Global Positioning System (GIS/DGPS) to determine vehicle location and intersection geometry; and a Driver-Vehicle Interface (DVI) providing auditory, visual (Head-Up Display), and haptic warnings. The system was engineered to address four specific crash scenarios: left turns across path, perpendicular paths with no traffic control violation, perpendicular paths with traffic control violation, and premature intersection entry. Testing involved both controlled track environments and on-road evaluations at specific intersections in Buffalo, New York, to assess sensor accuracy, warning timing, and system integration. Key findings established performance guidelines for each subsystem. The radar-based threat detection system demonstrated the ability to track targets and generate warnings, though issues regarding line-of-sight and range errors were identified. The GIS/DGPS component provided accurate positioning data, while the DVI evaluations yielded specific recommendations for warning modalities. For instance, the study determined optimal timing for stop requirement and inadequate gap warnings, and evaluated the effectiveness of haptic brake pulses versus auditory tones. The report documents specific trigger values and warning activation times required to provide drivers with sufficient reaction time. The significance of this work lies in the validation of a technically feasible, vehicle-mounted collision avoidance system. The analysis estimated the potential benefits of national deployment, calculating the number of crashes that could be avoided based on the system's effectiveness against the identified crash scenarios. The report concludes that while the system does not address every possible intersection conflict, it offers a practical, cost-effective solution that leverages existing sensor and processing technologies. The derived performance guidelines serve as a foundation for future development and deployment of ITS countermeasures aimed at reducing intersection crash severity and frequency.

Key finding

The ICAS testbed successfully demonstrated the technical feasibility of detecting intersection threats and generating warnings, with system effectiveness dependent on radar coverage and line-of-sight conditions.

Methodology

field_study

Provenance

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discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

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