Conclusion and Future Work ▸ Network analysis of inter-airport traffic using FAAs traffic flow management data stream ▸ Found daily graph clustering properties to differ from previously reported results (due to limits of those data sets) ▸ Quantified temporally complex behavior, which contains a significant non-weekly trend ▸ Spectral Analysis ▸ Dominant eigenvectors are quasi-stationary ▸ Low rank spectral models capture bulk of daily network power ▸Preliminary analysis suggests utility of model in forecasting ▸ Correlation analysis suggests alternative approach for network decomposition (future work).


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    Titel :

    Graph time-series mixture models for air traffic prediction


    Beteiligte:
    Vardaro, Anthony (Autor:in) / Doan, Cuong Thai (Autor:in) / Chandra, Kavitha (Autor:in) / Mehta, Vineet (Autor:in)


    Erscheinungsdatum :

    01.04.2013


    Format / Umfang :

    1878793 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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