Bayesian Network for Managing Runway Overruns in Aviation Safety
Semantic Scholar · Article (Journal of Aerospace Information Systems) · 35aab80300db61376edbe755758cc83287330340 · Published 2019-09-19 · Journal of Aerospace Information Systems · 3 authors
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Journal of Aerospace Information Systems.
Abstract
Runway excursions at landing constitute a major threat to aviation safety. Among them, runway overruns, defined as those occurrences when an aircraft departs the end of a runway, are the most frequ...
Authors
- E. S. Ayra
- D. Insua
- Javier Cano
Keywords
- Computer Science
- Engineering
Citation
E. S. Ayra, D. Insua, Javier Cano (2019). Bayesian Network for Managing Runway Overruns in Aviation Safety. Journal of Aerospace Information Systems. Semantic Scholar ID 35aab80300db61376edbe755758cc83287330340. https://doi.org/10.2514/1.i010726 ↗