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

Author:

Pérez Moreno Francisco1ORCID,Gómez Comendador Víctor Fernando1ORCID,Delgado-Aguilera Jurado Raquel1ORCID,Zamarreño Suárez María1ORCID,Antulov-Fantulin Bruno2ORCID,Arnaldo Valdés Rosa María1ORCID

Affiliation:

1. Department of Aerospace Systems, Air Transport and Airports, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain

2. Department of Aeronautics, Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia

Abstract

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.

Publisher

MDPI AG

Reference52 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of air traffic complexity through a dynamic complexity indicator and machine learning models;Journal of Air Transport Management;2024-08

2. Transforming Aviation;Advances in Mechatronics and Mechanical Engineering;2024-05-17

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