Generating Time Optimal Trajectory from Predefined 4D waypoint Networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/9181 |
Resumo: | The main purpose of this paper is to develop a trajectory optimization method to generate optimal trajectories that minimize aircraft total trip time between the initial and final waypoint in predefined 4D waypoint networks. In this paper, the 4D waypoint networks only consist of waypoints for climb, cruise and descent approach without the take-off and landing approach phases. The time optimal trajectory is generated for three different lengths of flights (short, medium, and long-haul flight) for two different commercial aircraft and considering zero wind condition. The Results about the presented applications show that by flying a time optimal trajectory, which was found by applying a single source shortest path algorithm (Dijkstra’s algorithm), can lead to the reduction of average travel time by 2.6% with respect to the total trip time. |
id |
RCAP_6b4a4453f94616133c0d47f9f0cc1976 |
---|---|
oai_identifier_str |
oai:ubibliorum.ubi.pt:10400.6/9181 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Generating Time Optimal Trajectory from Predefined 4D waypoint NetworksTime ConservationCost index4D Waypoint NavigationTrajectory OptimizationDijkstra’s AlgorithmBase of Aircraft Data (BADA)The main purpose of this paper is to develop a trajectory optimization method to generate optimal trajectories that minimize aircraft total trip time between the initial and final waypoint in predefined 4D waypoint networks. In this paper, the 4D waypoint networks only consist of waypoints for climb, cruise and descent approach without the take-off and landing approach phases. The time optimal trajectory is generated for three different lengths of flights (short, medium, and long-haul flight) for two different commercial aircraft and considering zero wind condition. The Results about the presented applications show that by flying a time optimal trajectory, which was found by applying a single source shortest path algorithm (Dijkstra’s algorithm), can lead to the reduction of average travel time by 2.6% with respect to the total trip time.Praise Worthy PrizeuBibliorumAhmed, KawserBousson, K.2020-02-10T15:22:39Z2017-082017-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/9181engAhmed, K., Bousson, K., Generating time optimal trajectory from predefined 4D waypoint networks, International Review of Aerospace Engineering, Vol. 10, Issue 4 (2017), pp. 207-214. DOI: 10.15866/irease.v10i4.12570.1973-745910.15866/irease.v10i4.12570info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:49:57Zoai:ubibliorum.ubi.pt:10400.6/9181Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:49:22.901581Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
title |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
spellingShingle |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks Ahmed, Kawser Time Conservation Cost index 4D Waypoint Navigation Trajectory Optimization Dijkstra’s Algorithm Base of Aircraft Data (BADA) |
title_short |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
title_full |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
title_fullStr |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
title_full_unstemmed |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
title_sort |
Generating Time Optimal Trajectory from Predefined 4D waypoint Networks |
author |
Ahmed, Kawser |
author_facet |
Ahmed, Kawser Bousson, K. |
author_role |
author |
author2 |
Bousson, K. |
author2_role |
author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Ahmed, Kawser Bousson, K. |
dc.subject.por.fl_str_mv |
Time Conservation Cost index 4D Waypoint Navigation Trajectory Optimization Dijkstra’s Algorithm Base of Aircraft Data (BADA) |
topic |
Time Conservation Cost index 4D Waypoint Navigation Trajectory Optimization Dijkstra’s Algorithm Base of Aircraft Data (BADA) |
description |
The main purpose of this paper is to develop a trajectory optimization method to generate optimal trajectories that minimize aircraft total trip time between the initial and final waypoint in predefined 4D waypoint networks. In this paper, the 4D waypoint networks only consist of waypoints for climb, cruise and descent approach without the take-off and landing approach phases. The time optimal trajectory is generated for three different lengths of flights (short, medium, and long-haul flight) for two different commercial aircraft and considering zero wind condition. The Results about the presented applications show that by flying a time optimal trajectory, which was found by applying a single source shortest path algorithm (Dijkstra’s algorithm), can lead to the reduction of average travel time by 2.6% with respect to the total trip time. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08 2017-08-01T00:00:00Z 2020-02-10T15:22:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.6/9181 |
url |
http://hdl.handle.net/10400.6/9181 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ahmed, K., Bousson, K., Generating time optimal trajectory from predefined 4D waypoint networks, International Review of Aerospace Engineering, Vol. 10, Issue 4 (2017), pp. 207-214. DOI: 10.15866/irease.v10i4.12570. 1973-7459 10.15866/irease.v10i4.12570 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Praise Worthy Prize |
publisher.none.fl_str_mv |
Praise Worthy Prize |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799136386362638336 |