A spectral approach towards analyzing air traffic network disruptions
Name
LiGopalakrishnanPantojaBalakrishnanATM2019.pdf
Description
Accepted version
Size
1.4 MB
Format
Adobe PDF
Checksum (MD5)
a55be696f681aea72c70eabeb4ac98a3
Author(s)
Li, MZ
Gopalakrishnan, K
Balakrishnan, H
Pantoja, K
Date Issued
January 1, 2019
Journal
13th USA/Europe Air Traffic Management Research and Development Seminar 2019
Citation
Li, MZ, Gopalakrishnan, K, Balakrishnan, H and Pantoja, K. 2019. "A spectral approach towards analyzing air traffic network disruptions." 13th USA/Europe Air Traffic Management Research and Development Seminar 2019.
Version
Author's final manuscript
Abstract
© 2019 EUROCONTROL. All rights reserved. The networked nature of the air transportation system leads to systemwide delays and cancellations as a result of disruptions at an airport. A comprehensive analysis of system performance requires understanding the inherent interdependencies between various airports, in order to characterize off-nominal disruptions and to aid in recovery. In this work, we apply Graph Signal Processing (GSP) techniques to the analysis of flight delay networks, yielding two novel contributions: (1) We use the notion of the total variation (TV) of a graph signal in order to identify and quantify unexpected distributions of delays across airports; and (2) we present a spectral eigendecomposition analysis of airport disruption and delay networks. We investigate and characterize different patterns of delay distribution based on the relationship between TV and total delay, using 10 years worth of operational data from major US airports. We show that attributes of the resultant eigenvector modes and energy contributions are useful metrics to characterize specific disruptions caused by events such as nor’easters, Atlantic hurricanes, and equipment outages at airports.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://www.proceedings.com/content/050/050539webtoc.pdf
