Multi-Scale Analysis of the European Airspace Using Network Community Detection

Salvatore Micciche', Stefania Vitali, Rosario Nunzio Mantegna, Marco Cipolla, Gérald Gurtner, Simone Pozzi, Fabrizio Lillo, Rosario Nunzio Mantegna

Risultato della ricerca: Article

21 Citazioni (Scopus)

Abstract

We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspace and improve it by guiding the design of new ones. Specifically, we compare the performance of several community detection algorithms, both with fixed and variable resolution, and also by using anull model which takes into account the spatial distance between nodes, and we discuss their ability to find communities that could be used to define new control units of the airspace.
Lingua originaleEnglish
Numero di pagine17
RivistaPLoS One
Volume9
Stato di pubblicazionePublished - 2014

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traffic
Airports
airports
Navigation
Air
Databases
community structure
flight
air
monitoring

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cita questo

Multi-Scale Analysis of the European Airspace Using Network Community Detection. / Micciche', Salvatore; Vitali, Stefania; Mantegna, Rosario Nunzio; Cipolla, Marco; Gurtner, Gérald; Pozzi, Simone; Lillo, Fabrizio; Mantegna, Rosario Nunzio.

In: PLoS One, Vol. 9, 2014.

Risultato della ricerca: Article

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AU - Vitali, Stefania

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AU - Cipolla, Marco

AU - Gurtner, Gérald

AU - Pozzi, Simone

AU - Lillo, Fabrizio

AU - Mantegna, Rosario Nunzio

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AB - We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspace and improve it by guiding the design of new ones. Specifically, we compare the performance of several community detection algorithms, both with fixed and variable resolution, and also by using anull model which takes into account the spatial distance between nodes, and we discuss their ability to find communities that could be used to define new control units of the airspace.

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