A data-driven framework for modelling complexity in terminal manoeuvring area

A data-driven framework for modelling complexity in terminal manoeuvring area

This paper presents an objective, data-driven framework for quantifying air traffic complexity in the Terminal Manoeuvring Area (TMA) using historical ADS-B data from Singapore TMA. The motivation for developing this framework stems from the limitations of traditional subjective measures, which are...

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Bibliographic Details
Main Authors: Lim, Zhi Jun, Dhief, Imen, Pham, Duc-Thinh, Alam, Sameer, Delahaye, Daniel
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Engineering
Air traffic management
Terminal manoeuvring area
Complexity
Data-driven
Unsupervised machine learning
Clustering
Online Access:https://hdl.handle.net/10356/181825
https://www.sesarju.eu/SIDS2024

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