Abstract
Kurzfassung (Englisch)
Air Traffic Flow Management (ATFM) is essential for balancing airspace demand and capacity while minimizing delays. The current first-planned first-served slot allocation method does not allow airlines to prioritize flights based on operational needs, potentially leading to inefficiencies. To address this, flight prioritization mechanisms have been proposed, enabling airlines to optimize slot selection while considering equity in the allocation process. This thesis focuses on the design and implementation of a simulation framework to investigate long-term equity between airlines in flight prioritization within ATFM regulations.
The framework is developed using agent-based modeling (ABM) to represent key ATFM stake-holders, including the network manager, airlines, and an optimization platform. Its modular and extensible structure allows for the evaluation of various slot allocation methods, airline prioritization strategies, optimization algorithms, equity monitoring, and equity intervention mechanisms. The Strategy design pattern is used to enable flexible experimentation with different decision-making processes.
The demonstration of the framework showcases how the defined requirements for simulating ATFM regulations and long-term equity between airlines are met. The simulation framework supports controlled experimentation, reproducibility, and adaptability, making it a valuable tool for assessing different strategies. Future work could enhance the framework by incorporating more complex agent behaviors, real-world data validation, and adaptive intervention mechanisms.
Air Traffic Flow Management (ATFM) is essential for balancing airspace demand and capacity while minimizing delays. The current first-planned first-served slot allocation method does not allow airlines to prioritize flights based on operational needs, potentially leading to inefficiencies. To address this, flight prioritization mechanisms have been proposed, enabling airlines to optimize slot selection while considering equity in the allocation process. This thesis focuses on the design and implementation of a simulation framework to investigate long-term equity between airlines in flight prioritization within ATFM regulations.
The framework is developed using agent-based modeling (ABM) to represent key ATFM stake-holders, including the network manager, airlines, and an optimization platform. Its modular and extensible structure allows for the evaluation of various slot allocation methods, airline prioritization strategies, optimization algorithms, equity monitoring, and equity intervention mechanisms. The Strategy design pattern is used to enable flexible experimentation with different decision-making processes.
The demonstration of the framework showcases how the defined requirements for simulating ATFM regulations and long-term equity between airlines are met. The simulation framework supports controlled experimentation, reproducibility, and adaptability, making it a valuable tool for assessing different strategies. Future work could enhance the framework by incorporating more complex agent behaviors, real-world data validation, and adaptive intervention mechanisms.
| Original language | German (Austria) |
|---|---|
| Qualification | Master |
| Awarding Institution |
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| Supervisors/Reviewers |
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| Award date | 23 Jul 2025 |
| Publication status | Published - Jul 2025 |
Fields of science
- 502 Economics
- 102030 Semantic technologies
- 502050 Business informatics
- 102010 Database systems
- 102035 Data science
- 503008 E-learning
- 502058 Digital transformation
- 509026 Digitalisation research
- 102033 Data mining
- 102 Computer Sciences
- 102027 Web engineering
- 102028 Knowledge engineering
- 102016 IT security
- 102015 Information systems
- 102025 Distributed systems
JKU Focus areas
- Digital Transformation