From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics
At present, decision-making in ATM is fragmented between different stakeholders who have different objectives. This fragmentation, in unison with competing KPAs, leads to complex interdependencies between performance indicators, which results in an imbalance, with some of these indicators being pena...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/9/10/613 |
| _version_ | 1797476327291355136 |
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| author | Ralvi Isufaj Marsel Omeri Miquel Angel Piera Jaume Saez Valls Christian Eduardo Verdonk Gallego |
| author_facet | Ralvi Isufaj Marsel Omeri Miquel Angel Piera Jaume Saez Valls Christian Eduardo Verdonk Gallego |
| author_sort | Ralvi Isufaj |
| collection | DOAJ |
| description | At present, decision-making in ATM is fragmented between different stakeholders who have different objectives. This fragmentation, in unison with competing KPAs, leads to complex interdependencies between performance indicators, which results in an imbalance, with some of these indicators being penalized to the apparent benefit of others. Therefore, it is necessary to support ATM stakeholders in systematically uncovering hidden trade-offs between KPAs. Existing literature confirms this claim, but how to solve it has not been fully addressed. In this paper, we envision air traffic complexity to be the framework through which a common understanding among stakeholders is enhanced. We introduce the concept of single aircraft complexity to determine the contribution of each aircraft to the overall complexity of air traffic. Furthermore, we describe a methodology extending this concept to define complex communities, which are groups of interdependent aircraft that contribute the majority of the complexity in a certain airspace. Through use-cases based on synthetic and real historical traffic, we first show that the algorithm can serve to formalize and improve decision-making. Further, we illustrates how the provided information can be used to increase transparency of the decision makers towards different airspace users. In order to showcase the methodology, we develop a tool that visualizes different outputs of the algorithm. Lastly, we conduct sensitivity analysis in order to systematically analyse how each input affects the methodology. |
| first_indexed | 2024-03-09T20:56:19Z |
| format | Article |
| id | doaj.art-47a239b0a3fb49e993f51772630443b1 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-09T20:56:19Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-47a239b0a3fb49e993f51772630443b12023-11-23T22:19:12ZengMDPI AGAerospace2226-43102022-10-0191061310.3390/aerospace9100613From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity DynamicsRalvi Isufaj0Marsel Omeri1Miquel Angel Piera2Jaume Saez Valls3Christian Eduardo Verdonk Gallego4Logistics and Aeronautics Group, Autonomous University of Barcelona, 08202 Sabadell, SpainLogistics and Aeronautics Group, Autonomous University of Barcelona, 08202 Sabadell, SpainLogistics and Aeronautics Group, Autonomous University of Barcelona, 08202 Sabadell, SpainLogistics and Aeronautics Group, Autonomous University of Barcelona, 08202 Sabadell, SpainCRIDA A.I.E, 28022 Madrid, SpainAt present, decision-making in ATM is fragmented between different stakeholders who have different objectives. This fragmentation, in unison with competing KPAs, leads to complex interdependencies between performance indicators, which results in an imbalance, with some of these indicators being penalized to the apparent benefit of others. Therefore, it is necessary to support ATM stakeholders in systematically uncovering hidden trade-offs between KPAs. Existing literature confirms this claim, but how to solve it has not been fully addressed. In this paper, we envision air traffic complexity to be the framework through which a common understanding among stakeholders is enhanced. We introduce the concept of single aircraft complexity to determine the contribution of each aircraft to the overall complexity of air traffic. Furthermore, we describe a methodology extending this concept to define complex communities, which are groups of interdependent aircraft that contribute the majority of the complexity in a certain airspace. Through use-cases based on synthetic and real historical traffic, we first show that the algorithm can serve to formalize and improve decision-making. Further, we illustrates how the provided information can be used to increase transparency of the decision makers towards different airspace users. In order to showcase the methodology, we develop a tool that visualizes different outputs of the algorithm. Lastly, we conduct sensitivity analysis in order to systematically analyse how each input affects the methodology.https://www.mdpi.com/2226-4310/9/10/613ATMair traffic complexityspatiotemporal indicatorssingle aircraft complexitygraph theorycommunity detection |
| spellingShingle | Ralvi Isufaj Marsel Omeri Miquel Angel Piera Jaume Saez Valls Christian Eduardo Verdonk Gallego From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics Aerospace ATM air traffic complexity spatiotemporal indicators single aircraft complexity graph theory community detection |
| title | From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics |
| title_full | From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics |
| title_fullStr | From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics |
| title_full_unstemmed | From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics |
| title_short | From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics |
| title_sort | from single aircraft to communities a neutral interpretation of air traffic complexity dynamics |
| topic | ATM air traffic complexity spatiotemporal indicators single aircraft complexity graph theory community detection |
| url | https://www.mdpi.com/2226-4310/9/10/613 |
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