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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Rataj, Jürgen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2021AcListant with Continuous Learning: Speech Recognition in Air Traffic Control (EIWAC 2019)
- 2021Macroscopic Analysis to identify Stage Boundaries in Multi-Stage Arrival Management
- 2020Self-Structuring Route Network for Free Route Trafficcitations
- 2019Macroscopic Analysis to Identify Stage Boundaries in Multi-Stage Arrival Management
- 2019AcListant with Continuous Learning: Speech Recognition in Air Traffic Controlcitations
- 2014Konzeptuelle Betrachtung nutzer- und situationsbasierter adaptiver Automatisierung in Flug- und Fahrzeugführung
- 2010Iterative design process for the development and testing of cooperative applications
- 2009Um die Ecke geschaut – wenn das Auto mehr sieht als der Fahrer
- 2009AIM – APPLICATION PLATFORM INTELLIGENT MOBILITY
- 2006What is difficult at intersections? Virtual and real driving
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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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