• 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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    Title :

    Trajectory prediction in North Atlantic Oceanic airspace by wind netxorking


    Contributors:
    Rodionova, O. (author) / Delahaye, D. (author) / Sbihi, M. (author) / Mongeau, M. (author)


    Publication date :

    2014-10-01


    Size :

    2536340 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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