Airport congestion mitigation requires reliable delay estimates. This paper presents an integrated model of airport congestion that combines a tactical model of capacity utilization into a strategic queuing model. The model quantifies the relationships between flight schedules, airport capacity and flight delays, while accounting for the way arrival and departure service rates can be controlled over the day to maximize operating efficiency. We show that the model estimates the average and variability of the delays observed at New York's airports relatively well. Results suggest that delays can be extremely sensitive to even small changes in flight schedules or airport capacity.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Endogenous control of service rates in stochastic and dynamic queuing models of airport congestion



    Erschienen in:

    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    85.00 / 55.82 Güterverkehr



    Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion

    Jacquillat, Alexandre / Odoni, Amedeo R. | DSpace@MIT | 2014

    Freier Zugriff


    Resilient UAV Traffic Congestion Control using Fluid Queuing Models

    Zhou, Jiazhen / Jin, Li / Sun, Dengfeng | ArXiv | 2019

    Freier Zugriff

    Resilient UAV Traffic Congestion Control Using Fluid Queuing Models

    Zhou, Jiazhen / Jin, Li / Wang, Xiao et al. | IEEE | 2021


    A queuing model of airport congestion and policy implications at JFK and EWR

    Jacquillat, Alexandre | DSpace@MIT | 2012

    Freier Zugriff