This paper introduces the use of discrete-time Markov chain models to represent the spatial-temporal behaviour of air traffic configurations near terminal areas. The airspace is first discretised using a rectangular grid and the occupancy status of each grid cell over each time interval is recorded. Each unique grid occupancy combination is then vectorised to define a unique state. Using the Baum-Welch algorithm, the transition probability between the set of possible states is then determined. Using real air traffic data, the approach is used to model the air traffic behaviour around a large Australian airport. The model is evaluated using hold out data and applied to the novel application of dynamic airspace allocation for integrated unmanned aircraft operations.


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    Titel :

    Air Traffic Configuration Modelling and Dynamic Airspace Allocation using Discrete-Time Markov Chains


    Beteiligte:
    Faulkner, Lewis (Autor:in) / McFadyen, Aaron (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    1542814 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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