Full-coverage collision warning : human factors research needs : summary report

NHTSA · 1998 · ROSA P / United States. Federal Highway Administration

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This summary report outlines the human factors research needs for integrating in-vehicle safety and driver information technologies, specifically focusing on a "full-coverage collision warning" configuration. Conducted by the Federal Highway Administration (FHWA) as part of the Intelligent Vehicle Initiative (IVI), the study addresses the challenge of designing usable systems that provide manageable information to drivers. The research was motivated by the need to support highway safety and Intelligent Transportation Systems (ITS), with particular emphasis on the implications of an aging driver population. The findings are based on a December 1997 workshop with IVI stakeholders, including universities, automotive manufacturers, and contractors, as well as a preliminary assessment of infrastructure and in-vehicle requirements. The report details a specific system configuration designed to provide 360-degree collision warning coverage for passenger cars, commercial trucks, and transit vehicles. This configuration combines basic technologies, such as adaptive cruise control and rear-end collision avoidance, with advanced technologies like lane change/merge collision avoidance and intersection collision avoidance. It also integrates basic traveler information devices, including navigation and real-time traffic data. The primary goal is to establish a technical foundation that offers clear safety benefits while ensuring the system remains usable. The identified research needs center on three main issues. First, the integration of multiple Collision Avoidance System (CAS) devices requires guidelines for standardizing warnings. Research must determine consistent boundaries for hazardous conditions, identify warning characteristics (modalities, location, timing) that ensure driver comprehension, and assess long-term behavioral effects such as risk compensation. Second, the integration of CAS information with Advanced Traveler Information System (ATIS) devices necessitates an understanding of workload demands, information priorities, and appropriate presentation methods to support safe design. Third, driver tolerance for false alarms is a critical secondary issue. Because the configuration involves five distinct CAS devices, high false alarm rates could significantly reduce system effectiveness. Research must quantify the impact of false alarms on driver behavior and identify design guidelines for allowing driver control over system parameters. The significance of this work lies in establishing a roadmap for developing effective, integrated in-vehicle safety systems. By identifying specific gaps in human factors research, the report aims to guide the creation of design guidelines that ensure drivers can effectively comprehend and respond to complex warning information. The findings highlight the need to balance comprehensive safety coverage with manageable cognitive workload, ensuring that advanced technologies enhance rather than hinder driving performance. This research supports the broader IVI goal of improving highway safety through the thoughtful integration of intelligent transportation systems.

Methodology

review

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 (8 acquisition events logged).

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.

• auditory warnings
• feedback modes
• warning design
• hud ar windshield

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Applied Guidance: design guidelines
• Synthesis & Review: research agenda