IVHS Countermeasures For Rear-End Collisions, Task 1 Volume V: 1985 Nass Case Analysis, Interim Report

WILSON, TERRY · 1994 · ROSA P / United States. Joint Program Office for Intelligent Transportation Systems

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Summary

This interim report, part of the National Highway Traffic Safety Administration’s (NHTSA) Intelligent Vehicle Highway Systems (IVHS) program, addresses the development of performance specifications for rear-end collision avoidance systems. The primary motivation is to establish practical guidelines for autonomous, in-vehicle equipment designed to mitigate rear-end crashes, which constitute a significant portion of motor vehicle accidents. The study focuses on identifying the causal factors and human dynamics involved in these collisions to inform the design of effective countermeasures. The methodology for this specific volume (Volume VI) involves a comprehensive review of human factors literature and an analysis of crash data from previous tasks in the program. The broader Task 1 analysis utilized statistical data from NHTSA’s Fatal Accident Reporting System (FARS), General Estimates System (GES), and clinical case analyses from the National Accident Sampling System (NASS) Crashworthiness Data System (CDS) for the years 1985, 1991, and 1992. This volume specifically synthesizes findings on driver behavior, perception, and reaction times to create a framework for understanding the timeline of a rear-end crash. Key findings indicate that driver inattention is the dominant causal factor, accounting for 63% of rear-end crashes in the 1991 NASS CDS sample, with an additional 14% attributed to inattention combined with following too closely. The report categorizes crashes into lead-vehicle stationary (LVS) and lead-vehicle moving (LVM) scenarios, noting that LVS crashes are more frequent and often occur at intersections. Human factors analysis reveals that drivers often fail to detect closing speeds due to perceptual limitations and learned behaviors that underestimate risk when relative speed is low. Perception-reaction times (PRT) vary significantly, with mean brake reaction times ranging from 1.1 to 1.5 seconds for unexpected events, influenced by age, traffic density, and in-vehicle task demands. The report also evaluates display modalities, noting the importance of managing false alarms and selecting appropriate sensory cues (visual, auditory, or tactile) for warning systems. The significance of this work lies in its contribution to the foundational framework for IVHS performance specifications. By quantifying causal factors and human limitations, the report supports the development of a preliminary collision intervention model. This model aims to predict crash scenarios and evaluate the potential effectiveness of various system designs, such as driver action systems, headway maintenance systems, and automatic control systems. The findings emphasize that successful collision avoidance technology must account for human operator performance, particularly regarding attention allocation and reaction time variability, to ensure user acceptance and system efficacy.

Key finding

Driver inattention is the largest causal factor for rear-end collisions, accounting for 63 percent of incidents in the analyzed sample.

Methodology

review

Provenance

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

Topics

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• time to collision looming
• following distance
• braking response
• perception reaction time
• crash reconstruction hf
• behavioral adaptation risk compensation

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).

• Empirical Findings: behavioral performance data, crash risk outcomes, observational prevalence