Increasing air-traffic demand implies that new air-traffic management (ATM) concepts lowering controller loads, maintaining safety and increasing efficiency need to be designed and implemented. Many of such ideas are prepared within NextGEN. Before they are deployed to real daily usage in National Airspace System (NAS), they must be rigorously evaluated under realistic conditions. The paper presents AGENTFLY, a NAS-wide high-fidelity distributed multi-agent simulator with precise emulation of the human controller operation workload model and human-system interaction. The current version of AGENTFLY provides precise modeling of the human radar controller (R-side) operating in en-route sector.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Nas-wide en-route air-traffic controller modeling


    Contributors:


    Publication date :

    2012-04-01


    Size :

    292789 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Automated Route Clustering for Air Traffic Modeling

    Bombelli, Alessandro / Segarra Torne, Adria / Trumbauer, Eric et al. | AIAA | 2017


    Assessment of Air Traffic Controller Acceptability of Aircrew Route Change Requests

    Idris, Husni / Enea, Gabriele / Burke, Kelly et al. | NTRS | 2017


    Assessment of Air Traffic Controller Acceptability of Aircrew Route Change Requests

    Idris, Husni / Enea, Gabriele / Burke, Kelly et al. | NTRS | 2017


    Hybrid Route Choice Modeling in Dynamic Traffic Assignment

    Pel, Adam J. / Bliemer, Michiel C. J. / Hoogendoorn, Serge P. | Transportation Research Record | 2009