Evaluating the impact of prediction accuracy on Continuous Descent Operations: The added value of Trajectory Predictor performance through Air-Ground Datalink

Master Thesis (2024)
Author(s)

M. RAGHUNANDAN (TU Delft - Aerospace Engineering)

Contributor(s)

J.M. Hoekstra – Mentor (TU Delft - Control & Simulation)

J. Ellerbroek – Graduation committee member (TU Delft - Control & Simulation)

Ferdinand Dijkstra – Coach (Luchtverkeersleiding Nederland)

More Info
expand_more
Publication Year
2024
Language
English
Graduation Date
26-02-2024
Awarding Institution
Programme
Aerospace Engineering
Downloads counter
299
Collections
thesis
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.

Abstract

This research investigates the role of time prediction accuracy in optimizing Continuous Descent Operations (CDO) within the aviation sector, with a specific focus on assessing the additional benefits brought forth by the integration of Air-Ground Datalink technologies. Continuous Descent Operations, characterized by uninterrupted and efficient descent profiles, hold promise for reducing fuel consumption, emissions, noise, and overall operational costs. However, the extent to which accurate time predictions contribute to the success of CDO remains a critical yet understudied aspect.

Files

Thesis_mithun.pdf
(pdf | 3.31 Mb)
License info not available