Flight planning quality assessment with predictive analysis using data clustering and reference trajectories

Master thesis (2021)

Authors

K.P. Beukers Aerospace Engineering

Contributors

P.C. Roling Air Transport & Operations - Aerospace Engineering (mentor)
Faculty
Aerospace Engineering, Aerospace Engineering
Copyright: © 2021 Koen Beukers
More Info
expand_more

Published Date

08-10-2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Aerospace Engineering

Abstract

Flight planning is a process of optimisation that is commonly solved by complex software tools. Quantifying the quality of such a system is for the users an unsolved problem. This paper proposes a method that measures the inefficiencies in different domains to gain insights in the performance of flight planning tools. The established assessment framework includes relating actual operated performance to the flight plan instructions. Additionally, the framework is used to detect and predict possibly abnormal flight plans before they are operated.