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A European Study to identify Key Operational Parameters for ATFM Routing Decisions

Derra, Manuel and Lau, Alexander and Gollnick, Volker (2020) A European Study to identify Key Operational Parameters for ATFM Routing Decisions. In: Deutscher Luft- und Raumfahrtkongress 2020. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2020. Deutscher Luft- und Raumfahrtkongress 2020, 01.-03. Sep. 2020, Deutschland. doi: 10.25967/530171.

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Official URL: https://publikationen.dglr.de/?tx_dglrpublications_pi1%5bdocument_id%5d=530171


The overall European Air Traffic Management aims for an efficient utilisation of ATM sub-systems like the European Air Traffic Management Network. Highly congested hub airports and controlled airspaces may lead to Demand-Capacity-Balancing issues during high demand periods. Air Traffic Flow Management as one of the European ATM domains resolves these issues with certain capacity balancing measures. Besides slot allocation, one frequently used measure is (lateral) re-routing, which often leads to less efficient trajectories resulting in additional CO2-emissions and costs for airspace users. Recent research suggests that the share of inefficient short-term re-routing measures could be reduced by high-quality predictions of future flight trajectories through Machine Learning methods. One essential requirement for the development of ML models is the optimal choice of input parameters. In this study, a structured analysis of an extensive set of flight plan data is conducted in order to identify key operational parameters for ATFM routing decisions. An extensive flight plan data sample covering three months in 2016 is parametrised and analysed to gather a sufficient data baseline. A set of representative Origin-Destination pairs with high demand rates are investigated in more detail. Results show that flights approaching large hub-airports have a higher chance of being re-routed resulting in a less efficient trajectory in terms of lateral ATS-efficiency. The parameters with the highest relevance on ATFM routing decisions were found to be lateral ATS-efficiency, demand along the individual sector profile as well as the weekday of departure for planned trajectories.

Item URL in elib:https://elib.dlr.de/137761/
Document Type:Conference or Workshop Item (Speech)
Title:A European Study to identify Key Operational Parameters for ATFM Routing Decisions
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Derra, ManuelManuel.Derra (at) dlr.dehttps://orcid.org/0000-0002-5383-9104
Lau, AlexanderAlexander.Lau (at) dlr.deUNSPECIFIED
Gollnick, VolkerVolker.Gollnick (at) dlr.deUNSPECIFIED
Date:16 October 2020
Journal or Publication Title:Deutscher Luft- und Raumfahrtkongress 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.25967/530171
Publisher:Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2020
Keywords:Machine Learning, Data Analysis, Air Traffic Flow Management
Event Title:Deutscher Luft- und Raumfahrtkongress 2020
Event Location:Deutschland
Event Type:national Conference
Event Dates:01.-03. Sep. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Air Traffic Concepts and Operation (old)
Location: Hamburg
Institutes and Institutions:Air Transport Operations
Deposited By: Derra, Manuel
Deposited On:08 Dec 2020 09:25
Last Modified:08 Dec 2020 09:25

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