A routing and scheduling optimization approach for the airport ground movement problem considering runway spacing is introduced. An integrated modeling that considers both the routing of aircraft and runway required separations, is implemented through Aircraft Multi-Objective Optimization Algorithm AMOA* and a correct spacing validation module, coupled by a genetic algorithm in search of real-world feasible, yet optimized solutions, for a modern-day aviation setting based on London's Stansted Airport. The proposed genetic algorithms successfully optimize taxiing time and fuel consumption for different airport traffic scenarios while fully respecting runway separation constraints. The difference between algorithms is emphasized to stress the risk of over-evaluation of savings by overlooking real-world operational conditions in the modeling phase of the problem.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Airport Ground Movement Optimization Revisited: Coupling Airport Runway Spacing to Multi-Objective Routing and Scheduling Through Genetic Algorithms


    Beteiligte:
    Perea, Francisco Ruben Parra (Autor:in) / Chen, Jun (Autor:in) / Weiszer, Michal (Autor:in) / Korna, John (Autor:in) / Cannon, Richard (Autor:in)


    Erscheinungsdatum :

    05.12.2023


    Format / Umfang :

    395045 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Newark Airport Runway: A Forensic Study Revisited

    King, Gayle | Online Contents | 2013


    Airport runway device

    CHEN XIAORONG / CHEN DAPING | Europäisches Patentamt | 2015

    Freier Zugriff

    Newark Airport Runway

    King, Gayle / Rowe, Geoffrey / Reinke, Gerry | Transportation Research Record | 2013


    Airport Runway Brooms

    SAE Technical Papers | 2016