Estimation of Air Traffic Flow Boundary (EATFB) is at the core of conformance monitoring in Air Traffic Control (ATC) operations. Due to the impact of stochastic uncertainties on the real trajectories of air traffic flow flying along some nominal trajectory, a novel probabilistic flow boundary is proposed to address the robustness of the boundary. Then, we formulate the EATFB problem into a Chance-Constrained Optimization Program (C-COP). And a scenario-based approach is presented to approximately solve the C-COP with a predefined probabilistic guarantee. The efficacy of the proposed approach is verified by investigating both the horizontal and vertical profiles of air traffic flow based on the real ADS-B trajectory data. Moreover, the Monte Carlo method is adopted to further assess the robustness of the estimated boundary.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A scenario-based approach to robust Estimation of Air Traffic Flow Boundary


    Beteiligte:
    Zhong-ying Qiu (Autor:in) / Yang, Yang (Autor:in) / Yan-bo Zhu (Autor:in)


    Erscheinungsdatum :

    01.09.2015


    Format / Umfang :

    1173940 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A scenario-based approach to robust estimation of air traffic flow boundary

    Zhong-ying Qiu / Yang Yang / Yan-bo Zhu | IEEE | 2015

    Freier Zugriff

    A Scenario-Based Optimization Approach to Robust Estimation of Airport Capacity

    Ju, Fei / Cai, Kaiquan / Yang, Yang et al. | IEEE | 2015


    Scenario-Based Management of Air Traffic Flow

    Liu, Pei-Chen Barry / Hansen, Mark / Mukherjee, Avijit | Transportation Research Record | 2006