The path to NAS-wide implementation for ATD-2 multi-airport IADS is as a digital service for flight operators that builds on and supplements FAA TBO investments. This session will focus on a suite of Machine Learning (ML) services the ATD-2 team developed to model airport surface operations. The approach used to leverage SWIM data sets will be described and a preliminary analysis of ML model accuracy will be presented. NASA’s plans to build on this work under the ATM-X Digital Information Platform (DIP) sub-project will be discussed.


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    Titel :

    ATD-2 Digital Services / DIP


    Beteiligte:
    M. Johnson (Autor:in) / G. Wu (Autor:in) / R. Pai (Autor:in) / W. J. Coupe (Autor:in)

    Erscheinungsdatum :

    2021


    Format / Umfang :

    49 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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