Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic
International audience The North Atlantic oceanic airspace is considered the most congested oceanic airspace in the world. For many years, air traffic control in this airspace has experienced difficulties due to the limited radar coverage. To support conflict-free flight progress, a structure of rou...
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Online Access: | https://hal-enac.archives-ouvertes.fr/hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474/document https://hal-enac.archives-ouvertes.fr/hal-01974474/file/Journal_ImenDhief.pdf https://doi.org/10.2514/1.D0110 |
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ftccsdartic:oai:HAL:hal-01974474v1 2023-05-15T17:28:25+02:00 Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic Dhief, Imen Delahaye, Daniel Dougui, Nour Elhouda Rodionova, Olga Ecole Nationale de l'Aviation Civile (ENAC) École Nationale des Sciences de l'Informatique Manouba (ENSI) Université de la Manouba Tunisie (UMA) Innov'ATM ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019) 2019 https://hal-enac.archives-ouvertes.fr/hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474/document https://hal-enac.archives-ouvertes.fr/hal-01974474/file/Journal_ImenDhief.pdf https://doi.org/10.2514/1.D0110 en eng HAL CCSD AIAA info:eu-repo/semantics/altIdentifier/doi/10.2514/1.D0110 hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474/document https://hal-enac.archives-ouvertes.fr/hal-01974474/file/Journal_ImenDhief.pdf doi:10.2514/1.D0110 info:eu-repo/semantics/OpenAccess ISSN: 2380-9450 Journal of Air Transportation https://hal-enac.archives-ouvertes.fr/hal-01974474 Journal of Air Transportation, AIAA, 2019, 27 (1), pp. 26-38. ⟨10.2514/1.D0110⟩ [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.2514/1.D0110 2021-11-07T02:22:38Z International audience The North Atlantic oceanic airspace is considered the most congested oceanic airspace in the world. For many years, air traffic control in this airspace has experienced difficulties due to the limited radar coverage. To support conflict-free flight progress, a structure of routes, called the organized track system, is established in the North Atlantic airspace and very restrictive separation standards are applied. The development of the automated dependent surveillance-broadcast system provides an opportunity to improve the flight planning operations over the oceans by reducing separation norms. The aim of this study is to improve the traffic efficiency in the North Atlantic airspace by developing new approaches to organize the transatlantic traffic at the strategic level. The first considered approach proposes a new route structure, referred to as the wind-optimal track network, to replace the organized track system, whereas the second one is based on the wind-optimal free routes. The problem is modeled as an optimization problem and resolved further via simulated annealing combined with a sliding window algorithm. The results of the simulations performed on the real traffic data prove that about 76% of flights decrease their cruising times by more than half of an hour when flying wind-optimal tracks rather than using their great circle routes from the departure to the destination. Furthermore, by comparing the two proposed methods, it is concluded that using wind-optimal free routes implies lower cruising times, whereas the wind-optimal track network is much more robust under changing wind fields. Article in Journal/Newspaper North Atlantic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Journal of Air Transportation 27 1 26 38 |
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Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
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[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Dhief, Imen Delahaye, Daniel Dougui, Nour Elhouda Rodionova, Olga Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic |
topic_facet |
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
description |
International audience The North Atlantic oceanic airspace is considered the most congested oceanic airspace in the world. For many years, air traffic control in this airspace has experienced difficulties due to the limited radar coverage. To support conflict-free flight progress, a structure of routes, called the organized track system, is established in the North Atlantic airspace and very restrictive separation standards are applied. The development of the automated dependent surveillance-broadcast system provides an opportunity to improve the flight planning operations over the oceans by reducing separation norms. The aim of this study is to improve the traffic efficiency in the North Atlantic airspace by developing new approaches to organize the transatlantic traffic at the strategic level. The first considered approach proposes a new route structure, referred to as the wind-optimal track network, to replace the organized track system, whereas the second one is based on the wind-optimal free routes. The problem is modeled as an optimization problem and resolved further via simulated annealing combined with a sliding window algorithm. The results of the simulations performed on the real traffic data prove that about 76% of flights decrease their cruising times by more than half of an hour when flying wind-optimal tracks rather than using their great circle routes from the departure to the destination. Furthermore, by comparing the two proposed methods, it is concluded that using wind-optimal free routes implies lower cruising times, whereas the wind-optimal track network is much more robust under changing wind fields. |
author2 |
Ecole Nationale de l'Aviation Civile (ENAC) École Nationale des Sciences de l'Informatique Manouba (ENSI) Université de la Manouba Tunisie (UMA) Innov'ATM ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019) |
format |
Article in Journal/Newspaper |
author |
Dhief, Imen Delahaye, Daniel Dougui, Nour Elhouda Rodionova, Olga |
author_facet |
Dhief, Imen Delahaye, Daniel Dougui, Nour Elhouda Rodionova, Olga |
author_sort |
Dhief, Imen |
title |
Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic |
title_short |
Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic |
title_full |
Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic |
title_fullStr |
Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic |
title_full_unstemmed |
Comparison Between Two Wind-Optimal Strategic Flight Plannings for North Atlantic Traffic |
title_sort |
comparison between two wind-optimal strategic flight plannings for north atlantic traffic |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal-enac.archives-ouvertes.fr/hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474/document https://hal-enac.archives-ouvertes.fr/hal-01974474/file/Journal_ImenDhief.pdf https://doi.org/10.2514/1.D0110 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 2380-9450 Journal of Air Transportation https://hal-enac.archives-ouvertes.fr/hal-01974474 Journal of Air Transportation, AIAA, 2019, 27 (1), pp. 26-38. ⟨10.2514/1.D0110⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.2514/1.D0110 hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474 https://hal-enac.archives-ouvertes.fr/hal-01974474/document https://hal-enac.archives-ouvertes.fr/hal-01974474/file/Journal_ImenDhief.pdf doi:10.2514/1.D0110 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.2514/1.D0110 |
container_title |
Journal of Air Transportation |
container_volume |
27 |
container_issue |
1 |
container_start_page |
26 |
op_container_end_page |
38 |
_version_ |
1766121076240154624 |