Identification of Causal Paths and Prediction of Runway Incursion Risk by Means of Bayesian Belief Networks
Semantic Scholar · Article · 0378c94a009b81d16ac614a61bf5681c71a8396e · Published 2014-01-01 · 1 author
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Semantic Scholar.
Abstract
The results in part confirm what is known about the causes of runway incursions, but more important shed light on multifaceted causal interactions in a modeling space that allows causal inference and evaluation of changes to the system in a dynamic setting.
Author
- Benjamin J. Goodheart
Keywords
- Engineering
- Environmental Science
Citation
Benjamin J. Goodheart (2014). Identification of Causal Paths and Prediction of Runway Incursion Risk by Means of Bayesian Belief Networks. Semantic Scholar ID 0378c94a009b81d16ac614a61bf5681c71a8396e. https://doi.org/10.3141/2400-02 ↗