Journal of Global Optimization

, Volume 58, Issue 4, pp 613–629 | Cite as

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

Article

Abstract

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 the problem to global optimality by means of an exact solver. Since the problem is very difficult to solve, we also propose a heuristic procedure where the problem is decomposed and it is locally exactly solved. Computational results show that the proposed approach provides satisfactory results.

Keywords

Air Traffic Management Conflict avoidance  Nonconvex mixed-integer nonlinear programming MINLP Modeling  Global exact solution Locally-optimal heuristic 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Laboratoire MAIAAÉcole Nationale de l’Aviation CivileToulouseFrance

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