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:
    Mirna Johnson (Autor:in) / Gilbert Wu (Autor:in) / Raj Pai (Autor:in) / William Jeremy Coupe (Autor:in)

    Kongress:

    Airspace Technology Demonstrations Technical Interchange Meeting ; 2021 ; Online, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




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