Multi Criteria Methodology for Aircraft Trajectory Planning Algorithm Selection: A Survey

Andreas Guitart*, Celine Demouge, Daniel Delahaye, Eric Feron

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Aircraft trajectory is one of the most fundamental objects in air traffic management. Its optimization is essential to ensure efficient and sustainable aviation. This survey proposes to study all the phases of a flight, from its prediction several days before day of flight to the landing of the aircraft, including also the study of a possible emergency situation. Each phase of flight raises different issues and is subject to particular constraints. These guide the choice of potentially usable optimization methods. This study proposes, from the context, the issues, and existing studies, a methodology to identify the most appropriate solution algorithms for optimizing each phase of flight. This methodology is based on 5 evaluation criteria: optimality, computing time, adaptability, memory usage, and multi-trajectories. Finally, thanks to it, some methods are compared based on their consistency with solving problem associated to each phase of flight.

Original languageEnglish (US)
Pages (from-to)12893-12911
Number of pages19
JournalIEEE Transactions on Intelligent Transportation Systems
Volume25
Issue number10
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • aircraft trajectory
  • Optimization
  • selection methodology

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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