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Empirical and Mechanistic Models for Flight Delay Risk Distributions

In: Operations Research Proceedings 2012

Author

Listed:
  • Lucian Ionescu

    (Freie Universität Berlin)

  • Claus Gwiggner

    (Freie Universität Berlin)

  • Natalia Kliewer

    (Freie Universität Berlin)

Abstract

In the field of robust flight optimization, disruption and delay propagation play a central role. Recently, huge amounts of data became available for analysis of these delays. For example, empirical distribution functions can be estimated and used as input for scheduling systems. But for a better understanding of the underlying mechanisms, distribution models with explicit dependencies and interpretable parameters are more desirable. In this paper we present new patterns in flight delay data and an initial model of the underlying physical processes.

Suggested Citation

  • Lucian Ionescu & Claus Gwiggner & Natalia Kliewer, 2014. "Empirical and Mechanistic Models for Flight Delay Risk Distributions," Operations Research Proceedings, in: Stefan Helber & Michael Breitner & Daniel Rösch & Cornelia Schön & Johann-Matthias Graf von der Schu (ed.), Operations Research Proceedings 2012, edition 127, pages 577-582, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-00795-3_86
    DOI: 10.1007/978-3-319-00795-3_86
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