Assessing Interdependencies and Congestion Delays in the Aviation Network
Concerning air traffic delays, air transport networks appear to have variable performance and stochastic nature. A delay incident in one airport may affect the operational efficiency of others and generate various side effects to the whole aviation network. Flight delays are a widespread phenomenon...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9296210/ |
| _version_ | 1818663217518346240 |
|---|---|
| author | Georgia Lykou Panagiotis Dedousis George Stergiopoulos Dimitris Gritzalis |
| author_facet | Georgia Lykou Panagiotis Dedousis George Stergiopoulos Dimitris Gritzalis |
| author_sort | Georgia Lykou |
| collection | DOAJ |
| description | Concerning air traffic delays, air transport networks appear to have variable performance and stochastic nature. A delay incident in one airport may affect the operational efficiency of others and generate various side effects to the whole aviation network. Flight delays are a widespread phenomenon nowadays, costing billions to the air transportation economy and degrading passenger's quality of service. Dependency graphs have been proposed in the past to understand the delay propagation phenomenon and analyze such cascading events by using dependency chains. In this work, we propose a risk-based method to analyze interdependencies and congestions in the aviation network. The methodology and the developed tool can assess delay incidents in airports and produce weighted risk dependency graphs, presenting how a delay that occurred in one airport may affect other interconnected airports. Based on data collected from the US Bureau of Transportation Statistics, we analyze how flight delay risk propagates inside the aviation network. In addition, using historic flight performance data we provide predictions for flight chains, which are prone to delays. We implement a tool that can detect the most critical airports and congested connections based on their delay contribution in dependency chains. It also proposes the n-order dependency chains, which should be avoided by airline flight planners, to reduce delay impacts in the aviation network. |
| first_indexed | 2024-12-17T05:13:20Z |
| format | Article |
| id | doaj.art-4c0b5d596d7e406ea5d89893bd423c81 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:13:20Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4c0b5d596d7e406ea5d89893bd423c812022-12-21T22:02:11ZengIEEEIEEE Access2169-35362020-01-01822323422325410.1109/ACCESS.2020.30453409296210Assessing Interdependencies and Congestion Delays in the Aviation NetworkGeorgia Lykou0Panagiotis Dedousis1George Stergiopoulos2https://orcid.org/0000-0002-5336-6765Dimitris Gritzalis3https://orcid.org/0000-0002-7793-6128Department of Informatics, Athens University of Economics and Business, Athens, GreeceDepartment of Informatics, Athens University of Economics and Business, Athens, GreeceDepartment of Informatics, Athens University of Economics and Business, Athens, GreeceDepartment of Informatics, Athens University of Economics and Business, Athens, GreeceConcerning air traffic delays, air transport networks appear to have variable performance and stochastic nature. A delay incident in one airport may affect the operational efficiency of others and generate various side effects to the whole aviation network. Flight delays are a widespread phenomenon nowadays, costing billions to the air transportation economy and degrading passenger's quality of service. Dependency graphs have been proposed in the past to understand the delay propagation phenomenon and analyze such cascading events by using dependency chains. In this work, we propose a risk-based method to analyze interdependencies and congestions in the aviation network. The methodology and the developed tool can assess delay incidents in airports and produce weighted risk dependency graphs, presenting how a delay that occurred in one airport may affect other interconnected airports. Based on data collected from the US Bureau of Transportation Statistics, we analyze how flight delay risk propagates inside the aviation network. In addition, using historic flight performance data we provide predictions for flight chains, which are prone to delays. We implement a tool that can detect the most critical airports and congested connections based on their delay contribution in dependency chains. It also proposes the n-order dependency chains, which should be avoided by airline flight planners, to reduce delay impacts in the aviation network.https://ieeexplore.ieee.org/document/9296210/Critical infrastructureairports congestiondelay propagationcascading impactaviation sectorrisk analysis |
| spellingShingle | Georgia Lykou Panagiotis Dedousis George Stergiopoulos Dimitris Gritzalis Assessing Interdependencies and Congestion Delays in the Aviation Network IEEE Access Critical infrastructure airports congestion delay propagation cascading impact aviation sector risk analysis |
| title | Assessing Interdependencies and Congestion Delays in the Aviation Network |
| title_full | Assessing Interdependencies and Congestion Delays in the Aviation Network |
| title_fullStr | Assessing Interdependencies and Congestion Delays in the Aviation Network |
| title_full_unstemmed | Assessing Interdependencies and Congestion Delays in the Aviation Network |
| title_short | Assessing Interdependencies and Congestion Delays in the Aviation Network |
| title_sort | assessing interdependencies and congestion delays in the aviation network |
| topic | Critical infrastructure airports congestion delay propagation cascading impact aviation sector risk analysis |
| url | https://ieeexplore.ieee.org/document/9296210/ |
| work_keys_str_mv | AT georgialykou assessinginterdependenciesandcongestiondelaysintheaviationnetwork AT panagiotisdedousis assessinginterdependenciesandcongestiondelaysintheaviationnetwork AT georgestergiopoulos assessinginterdependenciesandcongestiondelaysintheaviationnetwork AT dimitrisgritzalis assessinginterdependenciesandcongestiondelaysintheaviationnetwork |