How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity

Pérez Moreno, Francisco ORCID: https://orcid.org/0000-0003-2650-8358, Gómez Comendador, Víctor Fernando ORCID: https://orcid.org/0000-0003-0961-2188, Delgado-Aguilera Jurado, Raquel ORCID: https://orcid.org/0000-0002-6479-4714, Zamarreño Suárez, María ORCID: https://orcid.org/0000-0002-1563-8694, Antulov Fantulin, Bruno ORCID: https://orcid.org/0000-0002-8765-9857 and Arnaldo Valdes, Rosa Maria ORCID: https://orcid.org/0000-0001-6639-6819 (2024). How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity. "Applied Sciences", v. 14 (n. 9); ISSN 20763417. https://doi.org/10.3390/app14093604.

Descripción

Título: How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Applied Sciences
Fecha: 24 Abril 2024
ISSN: 20763417
Volumen: 14
Número: 9
Materias:
Palabras Clave Informales: air traffic; Air traffic management; Bibliometric analysis; Complexity; Research
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Sistemas Aeroespaciales, Transporte Aéreo y Aeropuertos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Air traffic complexity is an indicator that allows air traffic controllers to understand the airspace situation. Controllers need support tools to reduce their workload. For this reason, complexity is a parameter that is being studied more and more, as it makes it possible to know a large amount of information about air traffic. In this article, we perform a bibliometric analysis in the field of air traffic complexity. Through Web of Science (WoS), a collection of complexity-related articles from 2001 to 2022 is compiled. Subsequently, the bibliometric analysis itself is performed. Then, a summary of five main contributions is presented, identifying the strengths and weaknesses of the contributions, and thus the topic. The results of the bibliometric analysis show that future air traffic complexity indicators should consider aircraft trajectories but also take into account other aspects, such as regulations. In addition, future complexity indicators should introduce artificial intelligence predictions to foresee areas of conflict in airspace but taking into account the main limitations, such as uncertainty of the air traffic trajectories. This study helps in the study of complexity due to being able to know previous studies in a summarised form and being able to draw conclusions on future lines.

Más información

ID de Registro: 85014
Identificador DC: https://oa.upm.es/85014/
Identificador OAI: oai:oa.upm.es:85014
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10218261
Identificador DOI: 10.3390/app14093604
URL Oficial: https://www.mdpi.com/2076-3417/14/9/3604
Depositado por: iMarina Portal Científico
Depositado el: 25 Nov 2024 09:15
Ultima Modificación: 25 Nov 2024 09:15