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.


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    Title :

    Aircraft Climb Trajectory Prediction Using Neural Network


    Contributors:

    Published in:

    Applied Mechanics and Materials ; 373-375 ; 1247-1250


    Publication date :

    2013-08-30


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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    Thipphavong, D.P. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2013