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Projecte llegit

Títol: Optimization of airport operations at Boston Logan Airport


Estudiants que han llegit aquest projecte:


Director/a: VILLARDI DE MONTLAUR, ADELINE DE

Departament: FIS

Títol: Optimization of airport operations at Boston Logan Airport

Data inici oferta: 23-07-2015     Data finalització oferta: 23-07-2015



Estudis d'assignació del projecte:
    Tipus: Individual
     
    Lloc de realització: ERASMUS
     
    Paraules clau:
    Airport congestion, Taxi time, Gate hold, Airport operations, Model predictive control, Eulerian model, Air Traffic Control.
     
    Descripció del contingut i pla d'activitats:
    Airport surface congestion results in significant increases in taxi times, fuel burn and emissions
    at major airports. This thesis proposes a control strategy to improve the performance of airport operations at Boston Logan International Airport.
    First of all, an Eulerian model of the airport is built in order to be used for the purpose of
    control. This model can be used with different control strategies, however, in this project a strategy based in Model Predictive Control is chosen, which allows to include some feedback in the decision algorithms.
    This approach determines which are the optimal moments to release aircraft from the gates (pushback) in order to prevent the airport surface from entering congested states and to reduce the time that flights spend with engines on while taxiing to the runway.
    Finally, simulations results are shown in order to compare the efficiency of the proposed approach versus the current strategy used in ATC, the well-known First Come, First Served policy. The results demonstrate that lots of benefits are obtained through the proposed
    method in situations with high demand.
     
    Overview (resum en anglès):

    Airport surface congestion results in significant increases in taxi times, fuel burn and emissions
    at major airports. This thesis proposes a control strategy to improve the performance of airport operations at Boston Logan International Airport.
    First of all, an Eulerian model of the airport is built in order to be used for the purpose of
    control. This model can be used with different control strategies, however, in this project a strategy based in Model Predictive Control is chosen, which allows to include some feedback in the decision algorithms.
    This approach determines which are the optimal moments to release aircraft from the gates (pushback) in order to prevent the airport surface from entering congested states and to reduce the time that flights spend with engines on while taxiing to the runway.
    Finally, simulations results are shown in order to compare the efficiency of the proposed approach versus the current strategy used in ATC, the well-known First Come, First Served policy. The results demonstrate that lots of benefits are obtained through the proposed
    method in situations with high demand.


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