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Mixed-integer nonlinear programming for aircraft conflict avoidance by sequentially applying velocity and heading angle changes
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DOI：10.1016/j.ejor.2016.12.010.png)
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Abstract
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We consider the problem of aircraft conflict avoidance in Air Traffic Management systems. Given an initial configuration of a number of aircraft sharing the same airspace, the main goal of conflict avoidance is to guarantee that a minimum safety distance between each pair of aircraft is always respected during their flights. We consider aircraft separation achieved by heading angle deviations, and, propose a mixed 0-1 nonlinear optimization model, that is then combined with another one which is based on aircraft speed regulation. A two-step solution approach is proposed, where the two models are sequentially solved using a state-of-the-art mixed-integer nonlinear programming solver. Numerical results validate the proposed approach and clearly show the benefit of combining the two considered separation maneuvers. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Air traffic management
Conflict avoidance
Mixed-integer nonlinear programming
Deterministic global optimization
Modeling
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