Spelling suggestions: "subject:"flughafenbetreiber"" "subject:"flugbetrieb""
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Airport enterprise risk management model a study on airport business management and airline managementKucuk Yilmaz, Ayse January 2007 (has links)
Zugl.: Eskişehir, Anadolu Univ., Diss., 2007
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Development of a methodology for the identification, prediction and diagnosis of critical system states at airports /Schad, Daniel. January 2008 (has links)
Zugl.: Braunschweig, Techn. University, Diss., 2008.
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Strategisches Flughafenmanagement : Positionierung und Wertschöpfung von Flughafentypen /Trumpfheller, Michael. Pfohl, Hans-Christian. January 2006 (has links) (PDF)
TU Darmstadt, Diss., 2006.
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Öffentliche Interessen im Zusammenhang mit dem Betrieb von Flughäfen : mit besonderer Berücksichtigung von luftverkehrsbedingten Eingriffen in das Eigentum im Bereich des Flughafens Zürich /Plüss, Kaspar. January 2007 (has links) (PDF)
Diss. Univ. Zürich, 2007. / Ed. commerciale de la thèse de Zürich, 2006/2007. Bibliogr.
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Data-driven airport management enabled by operational milestones derived from ADS-B messagesSchultz, Michael, Rosenow, Judith, Olive, Xavier 20 January 2023 (has links)
Standardized, collaborative decision-making processes have already been implemented at some network-relevant airports, and these can be further enhanced through data-driven approaches (e.g., data analytics, predictions). New cost-effective implementations will also enable the appropriate integration of small and medium-sized airports into the aviation network. The required data can increasingly be gathered and processed by the airports themselves. For example, Automatic Dependent Surveillance-Broadcast (ADS-B) messages are sent by arriving and departing aircraft and enable a data-driven analysis of aircraft movements, taking into account local constraints (e.g., weather or capacity). Analytical and model-based approaches that leverage these data also offer deeper insights into the complex and interdependent airport operations. This includes systematic monitoring of relevant operational milestones as well as a corresponding predictive analysis to estimate future system states. In fact, local ADS-B receivers can be purchased, installed, and maintained at low cost, providing both very good coverage of the airport apron operations (runway, taxi system, parking positions) and communication of current airport performance to the network management. To prevent every small and medium-sized airport from having to develop its own monitoring system, we present a basic concept with our approach. We demonstrate that appropriate processing of ADS-B messages leads to improved situational awareness. Our concept is aligned with the operational milestones of Eurocontrol’s Airport Collaborative Decision Making (A-CDM) framework. Therefore, we analyze the A-CDM airport London–Gatwick Airport as it allows us to validate our concept against the data from the A-CDM implementation at a later stage. Finally, with our research, we also make a decisive contribution to the open-data and scientific community.
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