The major goal of air traffic management is to strategically control the flow of airport traffic. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation in airport environment. This paper uses the concept of dynamic receding horizon control (DRHC) to conduct real-time planning for airport capacity management. A gene algorithm is then designed from DRHC point of view. It is shown that DRHC provides a generic and flexible framework for developing real-time allocation algorithms for airport capacity in a dynamic and uncertain environment. Simulation results show that the algorithm is effective and efficient to solve the problem.


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    Title :

    Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management



    Published in:

    Publication date :

    2011-02-02


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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