Application of Bayesian Networks and Information Theory to Estimate the Occurrence of Mid-Air Collisions Based on Accident Precursors

This paper combines Bayesian networks (BN) and information theory to model the likelihood of severe loss of separation (LOS) near accidents, which are considered mid-air collision (MAC) precursors. BN is used to analyze LOS contributing factors and the multi-dependent relationship of causal factors,...

Descripción completa

Detalles Bibliográficos
Autores principales: Arnaldo Valdés, Rosa María, Liang Cheng, Schon Z.Y., Gómez Comendador, Victor Fernando, Sáez Nieto, Francisco Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512568/
https://www.ncbi.nlm.nih.gov/pubmed/33266693
http://dx.doi.org/10.3390/e20120969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512568/
https://www.ncbi.nlm.nih.gov/pubmed/33266693
http://dx.doi.org/10.3390/e20120969

Ejemplares similares