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| Tekkaya, A. Erman |
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| Förster, Peter |
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| Mudimu, George T. |
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| Shibata, Lillian Marie |
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| Talabbeydokhti, Nasser |
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| Laffite, Ernesto Dante Rodriguez |
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| Schöpke, Benito |
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| Gobis, Anna |
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| Alfares, Hesham K. |
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| Münzel, Thomas |
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| Joy, Gemini Velleringatt |
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| Oubahman, Laila |
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| Filali, Youssef |
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| Philippi, Paula |
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| George, Alinda |
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| Lucia, Caterina De |
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| Avril, Ludovic |
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| Belachew, Zigyalew Gashaw |
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| Kassens-Noor, Eva | Darmstadt |
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| Cho, Seongchul |
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| Tonne, Cathryn |
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| Hosseinlou, Farhad |
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| Ganvit, Harsh |
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| Schmitt, Konrad Erich Kork |
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| Grimm, Daniel |
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Itoh, Eri
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2023Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models
- 2022Modeling Aircraft Departure at a Runway Using a Time-Varying Fluid Queuecitations
- 2022Controlling Aircraft Inter-Arrival Time to Reduce Arrival Traffic Delay via a Queue-Based Integer Programming Approachcitations
- 2021Macroscopic Analysis to identify Stage Boundaries in Multi-Stage Arrival Management
- 2021Data-Driven Simulation for Evaluating the Impact of Lower Arrival Aircraft Separation on Available Airspace and Runway Capacity at Tokyo International Airportcitations
- 2019Queue-Based Modeling of the Aircraft Arrival Process at a Single Airportcitations
- 2019Macroscopic Analysis to Identify Stage Boundaries in Multi-Stage Arrival Management
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conferencepaper
Macroscopic Analysis to Identify Stage Boundaries in Multi-Stage Arrival Management
Abstract
Accommodating the air traffic growth, reducing arrival delay is one of the most important functions of designing the ATM system. One of the newest concepts to further optimize arrival flows is multi-stage arrival management, proposed by DLR, in which different guidance principles to manage the arriving traffic are implemented in different stages. These stages are optimized to the core management task to be done in a certain area of the arrival stream and the conditions of the surrounding environment. This paper discusses this concept through a macroscopic analysis on the overall arrival traffic flows. Further, this paper analyzes parts of the multistage arrival management concept applied to Tokyo International Airport as a case study. A stochastic characteristic of arrival trajectories will be discussed as a counterpart of conventional deterministic trajectorybased operation based on data-driven analysis and arrival procedures at the airport. The best strategies of shifting arrival flow control to time-based management is analyzed based on the stochastic data analysis. Impacts of popup aircraft are discussed as one of the causes to increase uncertainties in aircraft trajectory management.
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