⇁ MIP provides dual solution quality information which can be used to evaluate the quality (i.e. optimality) of solutions. ⇁ Compacter sequences and therefore increased throughput is possible with a holistic approach. ⇁ ADCO more fits for the 70:30 usage of the runway (70% ARR). Usage of existing AMAN/DMAN investments is possible. ⇁ The holistic approaches are applicable for full mixed-mode operation (60:40 to 50:50 to 40:60). New tools may be needed. ⇁ ADCO implicitly generates more buffer, holistic approaches explicitly model the buffers. ⇁ All three approaches, however, increase the throughput and reduce controller workload compared to a master slave scenario.


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    Titel :

    Optimal mixed-mode runway — Mixed-integer programming for ATC scheduling


    Beteiligte:
    Helmke, Hartmut (Autor:in) / Gluchshenko, Olga (Autor:in) / Martin, Alexander (Autor:in) / Peter, Andrea (Autor:in) / Pokutta, Sebastian (Autor:in) / Siebert, Uwe (Autor:in)


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    2209349 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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