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.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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



    Published in:

    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    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

    Free access


    Resilient UAV Traffic Congestion Control using Fluid Queuing Models

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

    Free access

    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

    Free access