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

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

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.

Suggested Citation

  • P. Kuzminski & J. S. Eisele & N. Garber & R. Schwing & Y. Y. Haimes & D. Li & M. Chowdhury, 1995. "Improvement of Highway Safety I: Identification of Causal Factors Through Fault‐Tree Modeling," Risk Analysis, John Wiley & Sons, vol. 15(3), pages 293-312, June.
    • Handle: RePEc:wly:riskan:v:15:y:1995:i:3:p:293-312
    DOI: 10.1111/j.1539-6924.1995.tb00323.x
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    References listed on IDEAS

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    1. Sarath C. Joshua & Nicholas J. Garber, 1992. "A Causal Analysis of Large Vehicle Accidents Through Fault‐Tree Analysis," Risk Analysis, John Wiley & Sons, vol. 12(2), pages 173-188, June.
    2. Vijay Tulsiani & Yacov Y. Haimes & Duan Li, 1990. "Distribution Analyzer and Risk Evaluator (DARE) Using Fault Trees," Risk Analysis, John Wiley & Sons, vol. 10(4), pages 521-538, December.
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