Short-term air traffic flow and capacity management measures in multi-airport systems.
| dc.contributor.advisor | Saez Nieto, Francisco | |
| dc.contributor.advisor | Jia, Huamin | |
| dc.contributor.author | Amaro Carmona, Manuel Angel | |
| dc.date.accessioned | 2023-07-06T09:04:15Z | |
| dc.date.available | 2023-07-06T09:04:15Z | |
| dc.date.issued | 2019-05 | |
| dc.description.abstract | Dynamic Demand and Capacity Balancing (dDCB) focuses on reducing the existent gap between the Air Traffic Flow and Capacity Management (ATFCM) and the Air Traffic Control (ATC) activities by introducing a more dynamic management of the airspace resources. This dynamism could be achieved by the application of Short-Term ATFCM Measures (STAM) that consists of detecting potential hotspots, identifying the flights producing the complexity, and applying minor changes to selected flights. This thesis presents a research about the application of STAM in a Multi-Airport System (MAS). Firstly, it is proposed an Operational Concept (OpsCon) designed to apply those STAMs that suggest changes in the take-off time of selected flights (temporal displacements in the planned trajectory). The operational concept is tested by real-time simulations (including the human- in-the-loop) with the objective of evaluating the performance of the ground ATCOs while dealing with most of the uncertainties produced before take-off. Subsequently, it is proposed a methodology that characterizes and evaluates the performance of the aircraft operation in a complex systemized TMA based on the study of its standard routes and their actual traffic in order to reduce the uncertainties after take-off. The process is composed of two main components. The first component identifies recurrent deviation patterns by comparing the Spatio-Temporal (S-T) differences between the actual and planned trajectories. The second component identifies and characterizes concurrence events based on the analysis of the standard routes and the along-track deviation derived from the first component with the objective to analyse the causes that produce recurrent patterns in the terminal airspace. The developed framework is applied to a study case of a representative MAS. The quantitative effectiveness of the framework is derived by simulations using historical traffic data samples of the London TMA. | en_UK |
| dc.description.coursename | PhD in Aerospace | en_UK |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/19934 | |
| dc.language.iso | en | en_UK |
| dc.rights | © Cranfield University, 2015. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder. | |
| dc.subject | Dynamic demand and capacity balancing (dDCB) | en_UK |
| dc.subject | air traffic management (ATM) | en_UK |
| dc.subject | trajectory-based operations (TBO) | en_UK |
| dc.subject | terminal manoeuvring area (TMA) | en_UK |
| dc.subject | airspace resources | en_UK |
| dc.subject | deviation | en_UK |
| dc.title | Short-term air traffic flow and capacity management measures in multi-airport systems. | en_UK |
| dc.type | Thesis | en_UK |