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).
Graph time-series mixture models for air traffic prediction
2013-04-01
1878793 byte
Conference paper
Electronic Resource
English
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