This work introduces a novel scheme to represent delay dynamics in airport networks. A key feature of the proposed scheme is that uncertainty affecting network operation is accounted for via a robust reachability analysis approach. In particular, the dynamical system is adopted to describe the propagation of outbound and inbound delays between airport nodes. A probabilistic reach set for this networked system is formulated as a chance-constrained optimization program. Then, we resort to a data-driven randomized computation method called $ \it{scenario optimization} $ scenariooptimization , where the chance constraint is replaced by a set of scenario-based deterministic constraints. Besides, the robustness of the reach set is explicitly derived through a posterior algorithm. Moreover, we conduct the extensive experiments on a dataset of real-world airport delays in China and provide some interesting results. Additionally, the case study at a refined scenario level shows the potential of the proposed approach in application.


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    Titel :

    Scenario-based robust reachability analysis for networked airport delay dynamics


    Weitere Titelangaben:

    Transportmetrica B
    Y. YANG ET AL.


    Beteiligte:
    Yang, Yang (Autor:in) / Li, Yue (Autor:in) / Cai, Kaiquan (Autor:in)


    Erscheinungsdatum :

    31.12.2024


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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