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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.
| Título: | How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity |
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| Autor/es: |
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| 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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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.
| ID de Registro: | 85014 |
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| 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 |
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