@inproceedings{6fa1f8a5b6374a02a870db2a09b6c014,
title = "Aircraft Cruise Alternative Trajectories Generation: A Mixed RRG-Clustering Approach",
abstract = "Weather obstacles in the airspace can interfere with an aircraft{\textquoteright}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.",
keywords = "alternative trajectory, clustering, metrics, RRG, similarity",
author = "Lebegue, {Jean Claude} and Andr{\'e}as Guitart and C{\'e}line Demouge and Daniel Delahaye and Jacco Hoekstra and Eric Feron",
note = "Publisher Copyright: {\textcopyright} 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 7th EAI International Conference on Intelligent Transport Systems, INTSYS 2023 ; Conference date: 06-09-2023 Through 07-09-2023",
year = "2024",
doi = "10.1007/978-3-031-49379-9_2",
language = "English (US)",
isbn = "9783031493782",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "34--50",
editor = "Martins, {Ana Lucia} and Ferreira, {Joao C.} and Alexander Kocian and Ulpan Tokkozhina and Helgheim, {Berit Irene} and Svein Br{\aa}then",
booktitle = "Intelligent Transport Systems - 7th EAI International Conference, INTSYS 2023, Proceedings",
address = "Germany",
}