On the Modeling of Airport Arrival and Departure Delay Distributions

DOI

10.2991/isci-15.2015.60How to use a DOI?

Keywords

Airport Delay Characteristics; Air Traffic Flow Management; Generalized Extreme Value; Probability Density Function.

Abstract

Airport arrival and delay distribution characteristics are analyzed and then modeled using probability density functions against a collection of departure and arrival delay data over an 8-month period of Beijing Capital International Airport (BCIA). We present an optimized Generalized Extreme Value (GEV) model in the paper and demonstrate through application of BCIA’s history flight delay data better Goodness of Fit. The quantitative modeling of delay characterizations in terms of stochastic distributions would play an important role in improving demand predictions in air traffic flow management systems.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qian Wu
PY  - 2015/01
DA  - 2015/01
TI  - On the Modeling of Airport Arrival and Departure Delay Distributions
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 443
EP  - 451
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.60
DO  - 10.2991/isci-15.2015.60
ID  - Wu2015/01
ER  -