This paper provides a model-based approach to planning ground delay programs. Previous research on automated planning of ground delay programs has involved the use of mathematical programming techniques. This paper proposes a data-driven method that models the problem of choosing a traffic management initiative by using the framework of the multiarmed bandit decision problem. This approach makes greater use of the available data, and suggestions made by this procedure can be shown along with data that informed the decision. This combination of tools allows decision makers to more easily evaluate suggested decisions. The paper also provides simulations of the procedure on the basis of data from Newark (New Jersey) International Airport to evaluate its effectiveness.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Data-Driven Planning for Ground Delay Programs


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Estes, Alexander (Autor:in) / Ball, Michael (Autor:in)


    Erscheinungsdatum :

    01.01.2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Performance Efficiency Scores for Ground Delay Programs

    Li, Jin / Gulding, John / Shetty, Kamala et al. | AIAA | 2018


    Contingencies and Cancellations in Ground Delay Programs

    Willemain, Thomas R. | Online Contents | 2002


    Modeling Weather Impact on Ground Delay Programs

    Kulkarni, Deepak / Wang, Yao | SAE Technical Papers | 2011


    Modeling Weather Impact on Ground Delay Programs

    Y. Wang / D. Kulkarni | NTIS | 2011


    Modeling Weather Impact on Ground Delay Programs

    Wang, Yao / Kulkarni, Deepak | NTRS | 2011