Improvement of highway safety. I: identification of causal factors through fault-tree modeling.

Auteur(s)
Kuzminski, P. Eisele, J.S. Garber, N. Schwing, R. Haimes, Y.Y. Li, D. & Chowdhury, M.
Jaar
Samenvatting

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 driving, 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.

Publicatie aanvragen

10 + 6 =
Los deze eenvoudige rekenoefening op en voer het resultaat in. Bijvoorbeeld: voor 1+3, voer 4 in.

Publicatie

Bibliotheeknummer
960272 ST [electronic version only]
Uitgave

Risk Analysis, Vol. 15 (1995), No. 3, p. 293-312, 11 ref.

Onze collectie

Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.