Aircraft climbing problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible climbing schedule in an acceptable time. Scheduling aircraft climbing is a complex task encountered by most of the control towers. In this paper, we study the aircraft climbing problem in the multiple runway case. This paper proposes a method based on neural network which can effectively solve the aircraft climbing problem while satisfying the real-time need.
Aircraft Climb Trajectory Prediction Using Neural Network
Applied Mechanics and Materials ; 373-375 ; 1247-1250
30.08.2013
4 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Reducing Aircraft Climb Trajectory Prediction Errors with Top-of-Climb Data (AIAA 2013-5129)
British Library Conference Proceedings | 2013
|Top-of-Climb Matching Method for Reducing Aircraft Trajectory Prediction Errors
Online Contents | 2016
|