• 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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    Title :

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


    Contributors:


    Publication date :

    2014-10-01


    Size :

    1051227 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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