• Implementing new technologies enables aicraft to exchange the measured meteorological data with each other directly • The data obtained with wind networking is much more accurate than the initial estimations • Adjusted predictions of cruising time and conflicts are much closer to the reality • Wind networking evolves great amelioration of flight prediction • Wind networking is especially efficient in dense traffic conditions • Future work: to apply the concept in other dense areas (ex. big terminal maneuvering areas).


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    Titel :

    Trajectory prediction in North Atlantic Oceanic airspace by wind netxorking


    Beteiligte:
    Rodionova, O. (Autor:in) / Delahaye, D. (Autor:in) / Sbihi, M. (Autor:in) / Mongeau, M. (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    2536340 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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