Causal Analysis of Airline Trajectory Preferences to Improve Airspace Capacity
Schefers, Nina (Universitat Autònoma de Barcelona)
Piera, Miquel Àngel (Universitat Autònoma de Barcelona)
Ramos González, Juan José (Universitat Autònoma de Barcelona)
Nosedal, Jenaro (York University)

Fecha:	2016
Descripción:	8 pàg.
Resumen:	The problem of fitting the maximum number of aircraft into ATC sectors, keeping in mind aircraft separation and safety standards, area navigation direct routings and other factors, is known as the airspace capacity problem. Above the European airspace, a high density network of air traffic can be found which is determined by the workload of controllers. Constraint Programming (CP) is a powerful powerful paradigm for representing and solving a wide range of combinatorial problems. The PARTAKE project fosters adherence of air space user's trajectory preferences enhancing Trajectory Based Operations (TBO) concepts by identifying tight interdependencies between trajectories and introducing a new mechanism to improve aircraft separation at the hot spots by the mean of CP. The underlying philosophy is to capitalize present freedom degrees between layered ATM planning tools, when sequencing departures at airports by considering the benefits of small time stamp changes in the assigned slot departures.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Air traffic management ; Airspace capacity ; Decision Support Tool ; Trajectory Based Operations
Publicado en:	Procedia computer science, Vol. 104 (2016) , p. 321-328, ISSN 1877-0509

DOI: 10.1016/j.procs.2017.01.141

8 p, 412.4 KB

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