Improvement of Highway Safety I: Identification of Causal Factors Through Fault‐Tree Modeling

P. Kuzminski, J. S. Eisele, N. Garber, R. Schwing, Y. Y. Haimes, D. Li, M. Chowdhury

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

24 Citations (Scopus)

Abstract

As the first article of a two‐part series, the purpose of this paper is to examine the functional factors that contribute to automobile accident occurrence and to model the causation structure in the form of a fault‐tree. The fault‐tree model provides an intuitive framework for qualitatively decomposing possible pathways to accident occurrence. Fault‐tree analysis also provides a statistical representation of how interacting driver, vehicle, and environmental factors contribute to the likelihood of automobile accident occurrence. The application of this model facilitates pinpointing those factors that most contribute to accident causation and subsequently enables the identification and comparison of potential crash avoidance technologies.
Original languageEnglish
Pages (from-to)293-312
JournalRisk Analysis
Volume15
Issue number3
DOIs
Publication statusPublished - Jun 1995
Externally publishedYes

Research Keywords

  • Fault tree
  • highway safety
  • modeling
  • multiple objectives

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