Spatiotemporal graph indicators for air traffic complexity analysis
Isufaj, Ralvi (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Koça, Thimjo (Intelligent and Autonomous Systems Group)
Piera, Miquel Àngel (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)

Date:	2021
Abstract:	There has been extensive research in formalising air traffic complexity, but existing works focus mainly on a metric to tie down the peak air traffic controllers workload rather than a dynamic approach to complexity that could guide both strategical, pre-tactical and tactical actions for a smooth flow of aircraft. In this paper, aircraft interdependencies are formalized using graph theory and four complexity indicators are described, which combine spatiotemporal topological information with the severity of the interdependencies. These indicators can be used to predict the dynamic evolution of complexity, by not giving one single score, but measuring complexity in a time window. Results show that these indicators can capture complex spatiotemporal areas in a sector and give a detailed and nuanced view of sector complexity.
Grants:	European Commission 783287
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Air traffic complexity ; Spatiotemporal indicators ; Complexity metrics ; Graph theory
Published in:	Aerospace, Vol. 8, Issue 12 (December 2021) , art. 364, ISSN 2226-4310

DOI: 10.3390/aerospace8120364

22 p, 2.5 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles