Empirical and Mechanistic Models for Flight Delay Risk Distributions

Lucian Ionescu (), Claus Gwiggner () and Natalia Kliewer ()
Additional contact information
Lucian Ionescu: Freie Universität Berlin
Claus Gwiggner: Freie Universität Berlin
Natalia Kliewer: Freie Universität Berlin

A chapter in Operations Research Proceedings 2012, 2014, pp 577-582 from Springer

Abstract: 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.

Keywords: Critical Path; Utilization Level; Buffer Time; Delay Probability; Delay Data (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_86

Ordering information: This item can be ordered from
http://www.springer.com/9783319007953

DOI: 10.1007/978-3-319-00795-3_86

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().