The Next Generation Air Transportation System (NextGen) implementation plan articulates that NextGen will become a better way of doing business because travel will be come more predictable [1]. This is important because predictably of flight operational events, in particular flight arrival times, have a significant impact on direct operating cost to the airline industry and passengers and an indirect effect on the economy [2, 3]. Uncertainty in flight arrival times causes carriers to increase their scheduled gate-to-gate times (schedule block times) by adding a buffer (or pad), a practice called schedule padding. Airlines claim that improvements to arrival time predictability could add revenue flights to their schedules without the cost of aircraft acquisitions [4].


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Examining Arrival Time Predictability in the NAS using Monte Carlo Methods


    Beteiligte:
    S. Agbolosu-Amison (Autor:in) / D. C. Millner (Autor:in) / B. J. Baden (Autor:in) / G. O. Coville (Autor:in) / S. Mondoloni (Autor:in)

    Erscheinungsdatum :

    2012


    Format / Umfang :

    7 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    EXAMINING ARRIVAL TIME PREDICTABILITY IN THE NAS USING MONTE CARLO METHODS

    Millner, D. / Agbolosu-Amison, S. / Baden, W. et al. | British Library Conference Proceedings | 2012


    Examining Arrival Time Predictability in the NAS Using Monte Carlo Methods

    Agbolosu-Amison, Seli / Millner, David / Baden, Billy et al. | AIAA | 2012


    Arrival Predictability Visualization

    Myers, Timothy A. | Online Contents | 2002


    Arrival Predictability Visualization

    Myers, Timothy A. | Online Contents | 2003