Potential Safety Applications of Advanced Technology

Fancher, P.; Kostyniuk, L.; Massie, D.; Ervin, R.; Gilbert, K.; Reiley, M.; Mink, C.; Bogard, S.; Zoratti, P. · 1994 · ROSA P / United States. Federal Highway Administration

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Summary

This 1994 report, prepared by the University of Michigan Transportation Research Institute for the Federal Highway Administration, addresses the potential application of advanced technology to mitigate known highway safety problems. The study aims to identify, evaluate, and assess the functional requirements, feasibility, costs, and potential safety benefits of roadway-based countermeasure systems. The research was motivated by the need to systematically apply emerging technologies to specific crash typologies to improve overall highway safety. The methodology involved analyzing the National Highway Traffic Safety Administration’s Crash Avoidance Research Data file (CARDfile) to establish a collision typology. Based on this analysis, six prevalent collision types were selected as targets: run-off-road crashes, vehicle strikes on pedestrians/cyclists/animals, crossing paths at intersections, left turns into another’s path, rear-end collisions, and head-on collisions. The researchers developed eighteen postulated countermeasure systems aimed at these accident types. Four of these systems were cross-cutting measures applicable to all six crash types, while the remaining fourteen were specific to individual accident factors. The study evaluated these systems by defining their sensing, processing, communications, and display needs, and by estimating their costs and potential safety benefits in terms of risk and severity reduction. The findings identified several countermeasures with high safety potential. Key recommendations included headway control for rear-end crashes, lane-edge detection for run-off-road situations, lane-keeping systems, and longitudinal control for objects such as pedestrians, cyclists, or animals in the roadway. Cross-cutting measures identified as particularly beneficial included night vision enhancement and impaired driver warnings. The report provides detailed functional descriptions of the eighteen systems, ranging from vehicle-based friction detection and adaptive cruise control to infrastructure-based warnings for intersections and limited sight curves. It also assesses the relationship between these countermeasures and available technologies, such as microwave radar, imaging sensors, and microprocessors, noting the specific performance requirements for sensing and communication. The significance of this work lies in its comprehensive framework for evaluating advanced safety technologies. By linking specific crash types to technological solutions and estimating their costs and benefits, the report provides a basis for prioritizing the development and implementation of Intelligent Vehicle Highway Systems (IVHS). It concludes with recommendations for future projects, emphasizing the need for human factors studies, a robust theory of driving, and further data collection to refine sensor ranges and reduce false alarms. The study serves as a foundational reference for highway engineers and policymakers interested in the strategic application of new technology to reduce accident frequency and severity.

Key finding

Countermeasures including headway control for rear-end crashes, lane-edge detection for run-off-road situations, lane-keeping systems, night vision enhancement, longitudinal control for objects in the road, and impaired driver warnings were identified as having high safety potential.

Methodology

dataset

Provenance

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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.

• perceptual countermeasures
• adas effectiveness
• naturalistic crash near crash
• incidence prevalence
• roadway lighting effects
• rail grade crossings

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: countermeasure evaluation
• Empirical Findings: crash risk outcomes, observational prevalence