{rfName}
Id

Indexed in

License and Use

Icono OpenAccess

Citations

11

Altmetrics

Analysis of institutional authors

Serrano-Mira, LCorresponding AuthorPerez-Castan, JaAuthorPerez-Sanz, LAuthor

Share

October 3, 2022
Publications
>
Article
Sí

Identification and Quantification of Contributing Factors to the Criticality of Aircraft Loss of Separation

Publicated to: Aerospace. 9 (9): - 2022-01-01 9(9), DOI: 10.3390/aerospace9090513

Authors:

Serrano-Mira, Lidia; Perez Maroto, Marta; Ayra, Eduardo S.; Alberto Perez-Castan, Javier; Liang-Cheng, Schon Z. Y.; Gordo Arias, Victor; Perez-Sanz, Luis;
[+]

Affiliations

Capgemini Engn, Space & Def Div, Calle Campezo 1, Madrid 28022, Spain - Author
Engn & Transport Econ INECO, Paseo de la Habana 138, Madrid 28036, Spain - Author
Iberia Airlines, Calle Martinez Villergas 49, Madrid 28027, Spain - Author
Univ Politecn Madrid, ETSI Aeronaut & Espacio, Plaza Cardenal Cisneros, Madrid 28040, Spain - Author
See more

Abstract

A Mid-Air Collision (MAC) is a fatal event with tragic consequences. To reduce the risk of a MAC, it is imperative to understand the precursors that trigger it. A primary precursor to a MAC is a loss of separation (LOS) or a separation infringement. This study develops a model to identify the factors contributing to a LOS between aircraft pairs. A Bayesian Network (BN) model is used to estimate the conditional dependencies of the factors affecting criticality, that is, how close the LOS has come to becoming a collision. This probabilistic model is built using GeNIe software from data (based on a database created from incident analysis) and expert judgment. The results of the model allow identification of how factors related to the scenario, the human factor (ATC and flight crew) or the technical systems, affect the criticality of the LOS. Based on this information, it is possible to exclude irrelevant elements that do not contribute or whose influence could be neglected, and to prioritize work on the most important ones, in order to increase ATM safety.
[+]

Keywords

Air trafficAviationBayesian networkEventsSeparation infringement

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Aerospace due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 8/34, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Aerospace.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-12-20:

  • Google Scholar: 3
  • WoS: 3
  • Scopus: 3
[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-20:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86265/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 111
  • Downloads: 33
[+]

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SERRANO MIRA, LIDIA) and Last Author (PEREZ SANZ, LUIS).

the author responsible for correspondence tasks has been SERRANO MIRA, LIDIA.

[+]