3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm
Aircrafts require a large amount of fuel in order to generate enough power to perform a flight. That consumption causes the emission of polluting particles such as carbon dioxide, which is implicated in global warming. This paper proposes an algorithm which can provide the 3D reference trajectory th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/7/7/99 |
| _version_ | 1797561808794419200 |
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| author | Alejandro Murrieta-Mendoza Charles Romain Ruxandra Mihaela Botez |
| author_facet | Alejandro Murrieta-Mendoza Charles Romain Ruxandra Mihaela Botez |
| author_sort | Alejandro Murrieta-Mendoza |
| collection | DOAJ |
| description | Aircrafts require a large amount of fuel in order to generate enough power to perform a flight. That consumption causes the emission of polluting particles such as carbon dioxide, which is implicated in global warming. This paper proposes an algorithm which can provide the 3D reference trajectory that minimizes the flight costs and the fuel consumption. The proposed algorithm was conceived using the Floyd–Warshall methodology as a reference. Weather was taken into account by using forecasts provided by Weather Canada. The search space was modeled as a directional weighted graph. Fuel burn was computed using the Base of Aircraft DAta (BADA) model developed by Eurocontrol. The trajectories delivered by the developed algorithm were compared to long-haul flight plans computed by a European airliner and to as-flown trajectories obtained from <i>Flightradar24</i><sup>®</sup>. The results reveal that up to 2000 kg of fuel can be reduced per flight, and flight time can be also reduced by up to 11 min. |
| first_indexed | 2024-03-10T18:19:53Z |
| format | Article |
| id | doaj.art-7ced1155bbda47a19feb12be472e6369 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T18:19:53Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-7ced1155bbda47a19feb12be472e63692023-11-20T07:24:20ZengMDPI AGAerospace2226-43102020-07-01779910.3390/aerospace70700993D Cruise Trajectory Optimization Inspired by a Shortest Path AlgorithmAlejandro Murrieta-Mendoza0Charles Romain1Ruxandra Mihaela Botez2Research Laboratory in Active Controls, Avionics and Aeroservoelasticity (LARCASE), Université du Québec, École de Technolgie Supérieure, Montreal, QC H3C 1K3, CanadaResearch Laboratory in Active Controls, Avionics and Aeroservoelasticity (LARCASE), Université du Québec, École de Technolgie Supérieure, Montreal, QC H3C 1K3, CanadaResearch Laboratory in Active Controls, Avionics and Aeroservoelasticity (LARCASE), Université du Québec, École de Technolgie Supérieure, Montreal, QC H3C 1K3, CanadaAircrafts require a large amount of fuel in order to generate enough power to perform a flight. That consumption causes the emission of polluting particles such as carbon dioxide, which is implicated in global warming. This paper proposes an algorithm which can provide the 3D reference trajectory that minimizes the flight costs and the fuel consumption. The proposed algorithm was conceived using the Floyd–Warshall methodology as a reference. Weather was taken into account by using forecasts provided by Weather Canada. The search space was modeled as a directional weighted graph. Fuel burn was computed using the Base of Aircraft DAta (BADA) model developed by Eurocontrol. The trajectories delivered by the developed algorithm were compared to long-haul flight plans computed by a European airliner and to as-flown trajectories obtained from <i>Flightradar24</i><sup>®</sup>. The results reveal that up to 2000 kg of fuel can be reduced per flight, and flight time can be also reduced by up to 11 min.https://www.mdpi.com/2226-4310/7/7/99flight referencefuel burnpollutionflight optimizationalgorithmcarbon dioxide |
| spellingShingle | Alejandro Murrieta-Mendoza Charles Romain Ruxandra Mihaela Botez 3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm Aerospace flight reference fuel burn pollution flight optimization algorithm carbon dioxide |
| title | 3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm |
| title_full | 3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm |
| title_fullStr | 3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm |
| title_full_unstemmed | 3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm |
| title_short | 3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm |
| title_sort | 3d cruise trajectory optimization inspired by a shortest path algorithm |
| topic | flight reference fuel burn pollution flight optimization algorithm carbon dioxide |
| url | https://www.mdpi.com/2226-4310/7/7/99 |
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