Aircraft deconfliction with speed regulation: new models from mixed-integer optimization

Detecting and solving aircraft conflicts, which occur when aircraft sharing the same airspace are too close to each other according to their predicted trajectories, is a crucial problem in Air Traffic Management. We focus on mixed-integer optimization models based on speed regulation. We first solve...

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Veröffentlicht in:	Journal of global optimization Jg. 58; H. 4; S. 613 - 629
Hauptverfasser:	Cafieri, Sonia, Durand, Nicolas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.04.2014 Springer Springer Nature B.V Springer Verlag
Schlagworte:	Air traffic control Aircraft Airspace Algorithms Analysis Automation Aviation Computation Computer Science Control Heuristic Hypotheses Integer programming Laws, regulations and rules Linear programming Mathematical models Mathematical programming Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Optimization and Control Real Functions Solvers Studies MINLP Global exact solution Air Traffic Management Modeling Locally-optimal heuristic Conflict avoidance Nonconvex mixed-integer nonlinear programming heuristic conflict avoidance modeling global exact solution air traffic management
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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