A methodology to perform air traffic complexity analysis based on spatio-temporal regions constructed around aircraft conflicts
Koça, Thimjo (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Piera, Miquel Àngel (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Radanovic, Marko (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)

Date:	2019
Abstract:	One of the main missions of air traffic management is to guarantee en route safety. This safety is quantified through some minimum separation distance between pairs of flying aircraft. Current systems are human-based, i. e. , have human air traffic controllers assuring minimum separation is maintained and in cases a loss of separation is predicted, they take actions to prevent the occurrence of such events. The constant and rapid increment of the air traffic demand is pushing current air traffic control systems to their limits. Development of automatic decision support systems, which can be used to automate, or support aircraft conflict detection and resolution, is considered a possible solution. However, the combinatorial nature of the problem poses several challenges for such a task. Metrics or various analytical procedures to produce information about the complexity of given scenarios can be used to guide the solution search process. In this paper, we present a complexity analysis based on the spatio-temporal interdependencies identified by the use of spatio-temporal regions constructed around the aircraft conflicts.
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:	Aircraft conflict ; Complexity metrics ; Continuous space-time regions
Published in:	IEEE Access, Vol. 7 (July 2019) , p. 104528-104541, ISSN 2169-3536

DOI: 10.1109/ACCESS.2019.2928355

14 p, 7.2 MB

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