Abstract
Weather obstacles in the airspace can interfere with an aircraft’s flight plan. Pilots, assisted by air traffic controllers (ATCs), perform avoidance maneuvers that can be optimized. This paper addresses the generation of alternative aircraft trajectories to resolve unexpected events. The authors propose a solution based on the RRG algorithm, K-means clustering, and Dynamic Time Warping (DTW) similarity metric to address the problem. The mixed algorithm succeeds in generating a set of paths with diversity in an obstacle constrained airspace between Paris-Toulouse and London-Toulouse airports. This tool could help to reduce the workload of pilots and ATCs when such a situation arises.
Original language | English (US) |
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Title of host publication | Intelligent Transport Systems - 7th EAI International Conference, INTSYS 2023, Proceedings |
Editors | Ana Lucia Martins, Joao C. Ferreira, Alexander Kocian, Ulpan Tokkozhina, Berit Irene Helgheim, Svein Bråthen |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 34-50 |
Number of pages | 17 |
ISBN (Print) | 9783031493782 |
DOIs | |
State | Published - 2024 |
Event | 7th EAI International Conference on Intelligent Transport Systems, INTSYS 2023 - Molde, Norway Duration: Sep 6 2023 → Sep 7 2023 |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
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Volume | 540 LNICST |
ISSN (Print) | 1867-8211 |
ISSN (Electronic) | 1867-822X |
Conference
Conference | 7th EAI International Conference on Intelligent Transport Systems, INTSYS 2023 |
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Country/Territory | Norway |
City | Molde |
Period | 09/6/23 → 09/7/23 |
Bibliographical note
Publisher Copyright:© 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Keywords
- alternative trajectory
- clustering
- metrics
- RRG
- similarity
ASJC Scopus subject areas
- Computer Networks and Communications