A survey of route optimisation and planning based on meteorological conditions

F. Akdogan*, A. D. Sahin

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

This review examines the critical role of meteorological data in optimising flight trajectories and enhancing operational efficiency in aviation. Weather conditions directly influence fuel consumption, delays and safety, making their integration into flight planning increasingly vital. Understanding these dynamics becomes essential for risk mitigation as climate change drives more frequent and severe weather events. Synthesising insights from 57 studies published between 2001 and 2024, this article highlights key variables - such as wind, temperature and convective weather - significantly impacting flight operations. A framework is proposed to improve air traffic management's safety, efficiency and cost-effectiveness. The findings emphasise the need for systematically incorporating meteorological inputs into trajectory optimisation models, such as wind shear, convective storms and temperature gradients. This integration improves operational predictability and safety while advancing sustainability goals by reducing fuel consumption and CO2 emissions - an increasingly important priority amid rising climate variability and global air traffic demand.

Original languageEnglish
JournalAeronautical Journal
DOIs
Publication statusAccepted/In press - 2025

Bibliographical note

Publisher Copyright:
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal Aeronautical Society.

Keywords

  • flight planning
  • machine learning in flight optimisation
  • meteorological parameters
  • route optimisation
  • sustainability

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