• The Advanced Trajectory Modeling project demonstrated that aircraft-derived data can be successfully used by TBFM and ERAM to predict more accurate trajectories for PBN arrivals for both constrained and unconstrained descents. • The aircraft-derived data investigated provided limited accuracy gains when constructing a GIM-S advisory. The GIM-S advisory could not obtain a top of descent or trajectory, speed and profile data from the aircraft, as the aircraft is not aware of the speed being considered until a clearance is delivered. • Several factors drive the uncertainty in prediction. These include: forecast wind; errors in aircraft performance models; thrust modeling; and modeling of deceleration segments. • Further research to mitigate these uncertainties can further improve ground automation models.


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    Titel :

    Advanced trajectory modeling: Use of aircraft-derived data in ground automation


    Beteiligte:


    Erscheinungsdatum :

    01.04.2018


    Format / Umfang :

    2022281 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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