• 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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    Title :

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


    Contributors:


    Publication date :

    2018-04-01


    Size :

    2022281 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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