Graph signal processing techniques for analyzing aviation disruptions
Year of publication: |
2021
|
---|---|
Authors: | Li, Max Z. ; Gopalakrishnan, Karthik ; Pantoja, Kristyn ; Balakrishnan, Hamsa |
Published in: |
Transportation science : a journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, ISSN 0041-1655, ZDB-ID 160958-0. - Vol. 55.2021, 3, p. 553-573
|
Subject: | airline networks | Graph Signal Processing | graph Fourier analysis | spectral methods | weather disruptions | airport operations | flight delays | Graphentheorie | Graph theory | Luftverkehr | Air transport | Flughafen | Airport | Fluggesellschaft | Airline | Linienverkehr | Scheduled transport |
-
A graph multi-attention network for predicting airport delays
Zheng, Hongfeng, (2024)
-
A note on optimal airline networks under airport congestion
Fageda, Xavier, (2015)
-
How do airlines react to airport congestion? : the role of networks
Fageda, Xavier, (2016)
- More ...
-
Timescales of delay propagation in airport networks
Wang, Yanjun, (2022)
-
An empirical study of the resilience of the US and European air transportation networks
Başpınar, Barış, (2023)
-
Topological data analysis for aviation applications
Li, Max Z., (2019)
- More ...