In the terminal airspace, integrated departures and arrivals have the potential to increase operations efficiency. Recent research has developed genetic-algorithm-based schedulers for integrated arrival and departure operations under uncertainty. This paper presents an alternate method using a machine jobshop scheduling formulation to model the integrated airspace operations. A multistage stochastic programming approach is chosen to formulate the problem and candidate solutions are obtained by solving sample average approximation problems with finite sample size. Because approximate solutions are computed, the proposed algorithm incorporates the computation of statistical bounds to estimate the optimality of the candidate solutions. A proof-of-concept study is conducted on a baseline implementation of a simple problem considering a fleet mix of 14 aircraft evolving in a model of the Los Angeles terminal airspace. A more thorough statistical analysis is also performed to evaluate the impact of the number of scenarios considered in the sampled problem. To handle extensive sampling computations, a multithreading technique is introduced.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimizing integrated terminal airspace operations under uncertainty


    Beteiligte:
    Bosson, Christabelle (Autor:in) / Xue, Min (Autor:in) / Zelinski, Shannon (Autor:in)


    Erscheinungsdatum :

    2014-10-01


    Format / Umfang :

    603024 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Optimizing integrated terminal airspace operations under uncertainty

    Bosson, Christabelle / Xue, Min / Zelinski, Shannon | IEEE | 2014


    Spatio-Temporally Correlated Wind Uncertainty Model for Simulation of Terminal Airspace Operations

    Vaddi, V.V. / Tandale, M.D. / Lin, S. et al. | British Library Conference Proceedings | 2013


    Future Airspace Operations

    P. Kopardekar | NTIS | 2023


    Future Airspace Operations

    Parimal Kopardekar | NTRS


    Integrated management for airport terminal airspace

    DONOVAN TIMOTHY P | Europäisches Patentamt | 2019

    Freier Zugriff