• PROCAST combines two complementary technologies for performing integrated arrival-departure-surface trajectory optimization under uncertainty • BBNs provide a fast-computation method for generating multiple possible future traffic scenarios • GA optimizer provides an effective method to optimize trajectories for each of the multiple future traffic scenarios • Preliminary assessment shows good promise, but more rigorous tests are needed • Next steps • Extend the analysis to cover JFK terminal airspace, and further to cover the entire New York metroplex • Assess PROCAST benefits with a wider set of traffic scenarios


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    Titel :

    Robust, integrated arrival-departure-surface scheduling based on Bayesian networks


    Beteiligte:
    Saraf, Aditya (Autor:in) / Ramamoorthy, Kris (Autor:in) / Stroiney, Steven (Autor:in) / Sawhill, Bruce (Autor:in) / Herriot, Jim (Autor:in)


    Erscheinungsdatum :

    2014-10-01


    Format / Umfang :

    1051227 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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