Using subset simulation to quantify stakeholder contribution to Runway overrun

Ludwig Drees, Chong Wang, Florian Holzapfel

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

This paper studies the use of sensitivities to quantify the extent to which individual airline departments (stakeholders) contribute to the incident of runway overrun. For that purpose, we present a model of the incident runway overrun. The incident model is based on the dynamics of aircraft and describes the functional relationship between contributing factors leading to the incident. The incident model also takes operational dependencies into account. Model input are the probability distributions of the contributing factors, which are obtained by fitting distributions to data of a fictive airline. By propagating the probability distributions through our incident model, we are able to make statistical valid statements of the occurrence probability of the incident itself. Therefore, we use the subset simulation method. By estimating the design point using the samples of the subset simulation we obtain the sensitivities by applying the First-Order Reliability method. The sensitivities are used to quantify stakeholder contribution to the incident runway overrun by allocating the various stakeholders to the contributing factors.

Original languageEnglish
StatePublished - 2014
Event12th International Probabilistic Safety Assessment and Management Conference, PSAM 2014 - Honolulu, United States
Duration: 22 Jun 201427 Jun 2014

Conference

Conference12th International Probabilistic Safety Assessment and Management Conference, PSAM 2014
Country/TerritoryUnited States
CityHonolulu
Period22/06/1427/06/14

Keywords

  • First-Order reliablity method
  • Incident model
  • Runway excursion
  • Sensitivity
  • Subset simulation

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