Cited by 205Human-Automation Interaction and SafetyTraffic and Road SafetyAutonomous Vehicle Technology and Safety

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Alarm effectiveness in driver-centred collision-warning systems

PARASURAMAN, R., HANCOCK, P. A., OLOFINBOBA, O.·1997·Ergonomics

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Abstract

The potential use of systems that seek to communicate a warning of impending collision directly to the driver is examined. Technological advances in collision-warning systems include reliable, low-cost radars, sensors with low noise levels, and the development of accurate detection algorithms for particular crash types, e.g. rear-end collisions. However, fundamental practical constraints make perfect sensor detection difficult to achieve. Imperfect detection conflates the false alarm rate and experience with other technologies confirms driver aversion to false warnings. Although sensitive alarm systems with high detection rates and low false alarm rates have been developed, the posterior probability of a collision given an alarm can be quite low because of the low base rate of collision events. As a result, only a small proportion of alarms will represent true collision scenarios. These and other factors can conspire to reduce alarm effectiveness in collision-warning systems. The problem is illustrated analytically and potential solutions are advanced.

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Authors: PARASURAMAN, R., HANCOCK, P. A., & OLOFINBOBA, O.
Affiliations: Catholic University of America (US)
ORCID: HANCOCK, P. A.
OLOFINBOBA, O.
Venue: Ergonomics
Publisher: Informa UK Limited
Published: 1997-03
Volume: 40
Issue: 3
Pages: 390-399
ISSN: 0014-0139 (ISSN-L)
1366-5847
DOI: 10.1080/001401397188224
OpenAlex: W2119374926
Cited by: 205
References: 28
Citations by year: 2026: 4 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 9 · 2020: 8 · 2019: 8 · 2018: 7 · 2017: 5 · 2016: 11 · 2015: 13 · 2014: 13 · 2013: 7 · 2012: 7
FWCI: 9.25
Type: journal article
Language: en
Open access: closed
Locations: Ergonomics (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords: collision warning systems, false alarm rate, driver distraction
MeSH terms: Accidents, Traffic, Algorithms, Decision Support Techniques, Equipment Design, Humans

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Alarm effectiveness in driver-centred collision-warning systems

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