Exploitation of Machine Learning to predict airport Runway Utilisation relative to known precursors and abnormality

Research output: ThesisDissertation (TU Delft)

28 Downloads (Pure)

Abstract

There is currently no supplementary operational system that assists the Air Traffic Control Officer (ATCO) in attaining accurate, fast, intuitive and interpretable predictions of Aircraft Safety Performance (ASP) enablers through suitable visualisation on the runway or on final approach. Thus, this study intends to develop an arrival ATCO support decision tool named the Runway Utilisation (RU) support tool.
Original languageEnglish
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Curran, Richard, Supervisor
  • Lopes Dos Santos, B.F., Advisor
Award date4 Mar 2020
DOIs
Publication statusPublished - 2020

Fingerprint

Dive into the research topics of 'Exploitation of Machine Learning to predict airport Runway Utilisation relative to known precursors and abnormality'. Together they form a unique fingerprint.

Cite this