DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE
International audience North Atlantic oceanic airspace accommodates more than 1000 flights daily, and is subjected to very strong winds. Flying wind-optimal trajectories yields time and fuel savings for each individual flight. However, when taken together, these trajectories induce a large amount of...
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ftunivnantes:oai:HAL:hal-01304633v1 2023-05-15T17:27:35+02:00 DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE Rodionova, Olga Delahaye, Daniel Sridhar, Banavar Ng, Hok K. NASA Ames Research Center (ARC) ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien (MAIAA) Ecole Nationale de l'Aviation Civile (ENAC) University of California Santa Cruz (UC Santa Cruz) University of California (UC) AAF Paris, France 2016-04-12 https://hal-enac.archives-ouvertes.fr/hal-01304633 https://hal-enac.archives-ouvertes.fr/hal-01304633/document https://hal-enac.archives-ouvertes.fr/hal-01304633/file/52_rodionova.pdf en eng HAL CCSD hal-01304633 https://hal-enac.archives-ouvertes.fr/hal-01304633 https://hal-enac.archives-ouvertes.fr/hal-01304633/document https://hal-enac.archives-ouvertes.fr/hal-01304633/file/52_rodionova.pdf info:eu-repo/semantics/OpenAccess AEGATS ‘16, Advanced Aircraft Efficiency in a Global Air Transport System https://hal-enac.archives-ouvertes.fr/hal-01304633 AEGATS ‘16, Advanced Aircraft Efficiency in a Global Air Transport System, AAF, Apr 2016, Paris, France North Atlantic oceanic airspace wind-optimal trajectories conflict detection and resolution deconflicting aircraft trajectory optimization Simulated Annealing strategic flight planning [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] info:eu-repo/semantics/conferenceObject Conference papers 2016 ftunivnantes 2022-11-30T02:05:19Z International audience North Atlantic oceanic airspace accommodates more than 1000 flights daily, and is subjected to very strong winds. Flying wind-optimal trajectories yields time and fuel savings for each individual flight. However, when taken together, these trajectories induce a large amount of potential enroute conflicts. This paper analyses the detected conflicts, figuring out conflict distribution in time and space. It further describes an optimization algorithm aimed at reducing the number of conflicts for a daily set of flights on strategic level. Several trajectory modification strategies are discussed, followed with simulation results. Finally, an algorithm improvement is presented aiming at better preserving the trajectory optimality Conference Object North Atlantic Université de Nantes: HAL-UNIV-NANTES |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
North Atlantic oceanic airspace wind-optimal trajectories conflict detection and resolution deconflicting aircraft trajectory optimization Simulated Annealing strategic flight planning [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
spellingShingle |
North Atlantic oceanic airspace wind-optimal trajectories conflict detection and resolution deconflicting aircraft trajectory optimization Simulated Annealing strategic flight planning [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Rodionova, Olga Delahaye, Daniel Sridhar, Banavar Ng, Hok K. DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE |
topic_facet |
North Atlantic oceanic airspace wind-optimal trajectories conflict detection and resolution deconflicting aircraft trajectory optimization Simulated Annealing strategic flight planning [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
description |
International audience North Atlantic oceanic airspace accommodates more than 1000 flights daily, and is subjected to very strong winds. Flying wind-optimal trajectories yields time and fuel savings for each individual flight. However, when taken together, these trajectories induce a large amount of potential enroute conflicts. This paper analyses the detected conflicts, figuring out conflict distribution in time and space. It further describes an optimization algorithm aimed at reducing the number of conflicts for a daily set of flights on strategic level. Several trajectory modification strategies are discussed, followed with simulation results. Finally, an algorithm improvement is presented aiming at better preserving the trajectory optimality |
author2 |
NASA Ames Research Center (ARC) ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien (MAIAA) Ecole Nationale de l'Aviation Civile (ENAC) University of California Santa Cruz (UC Santa Cruz) University of California (UC) AAF |
format |
Conference Object |
author |
Rodionova, Olga Delahaye, Daniel Sridhar, Banavar Ng, Hok K. |
author_facet |
Rodionova, Olga Delahaye, Daniel Sridhar, Banavar Ng, Hok K. |
author_sort |
Rodionova, Olga |
title |
DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE |
title_short |
DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE |
title_full |
DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE |
title_fullStr |
DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE |
title_full_unstemmed |
DECONFLICTING WIND-OPTIMAL AIRCRAFT TRAJECTORIES IN NORTH ATLANTIC OCEANIC AIRSPACE |
title_sort |
deconflicting wind-optimal aircraft trajectories in north atlantic oceanic airspace |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal-enac.archives-ouvertes.fr/hal-01304633 https://hal-enac.archives-ouvertes.fr/hal-01304633/document https://hal-enac.archives-ouvertes.fr/hal-01304633/file/52_rodionova.pdf |
op_coverage |
Paris, France |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
AEGATS ‘16, Advanced Aircraft Efficiency in a Global Air Transport System https://hal-enac.archives-ouvertes.fr/hal-01304633 AEGATS ‘16, Advanced Aircraft Efficiency in a Global Air Transport System, AAF, Apr 2016, Paris, France |
op_relation |
hal-01304633 https://hal-enac.archives-ouvertes.fr/hal-01304633 https://hal-enac.archives-ouvertes.fr/hal-01304633/document https://hal-enac.archives-ouvertes.fr/hal-01304633/file/52_rodionova.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766119762004279296 |