Maximizing the number of conflict-free aircraft using mixed-integer nonlinear programming

•Developed speed control-based air conflict avoidance models using MINLP that do not require any form of discretization.•We maximize the number of conflicts resolved subject to subliminal speed control constraints.•A pre-processing algorithm is presented to reduce the size of the MINLP formulations....

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Veröffentlicht in:	Computers & operations research Jg. 80; H. April 2017; S. 147 - 158
Hauptverfasser:	Cafieri, Sonia, Rey, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.04.2017 Pergamon Press Inc Elsevier
Schlagworte:	Air traffic control Aircraft Conflict detection and resolution Conflict resolution Deterministic global optimization Mathematics Mixed-integer nonlinear programming Modeling Nonlinear programming Optimization and Control Problem solving Studies Conflict detection and resolution Mixed-integer nonlinear programming Air traffic control Modeling Deterministic global optimization
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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