What-if Analysis in Total Airport Management

Suikat, Reiner; Schier-Morgenthal, Sebastian; Carstengerdes, Nils; Günther, Yves; Lorenz, Sandro; Piekert, Florian

doi:10.1007/978-3-030-50943-9_65

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Therefore, knowledge about the operational procedures is available. Moreover, Oslo will also be subject to a human-in-the-loop simulation that assesses the benefits of what-if from a user perspective [3]. Using the same data set as in this human-in-the-loop simulation enables a comparison between the user demand and the potential raised within this study in future work.…”

Section: Scenario Selection and Analysismentioning

confidence: 99%

“…A joint approach is necessary since each stakeholder plans separately without having an overview of the consequences that each action has for other stakeholders and vice versa. Total airport management addresses this problem, as it enables the development of joint actions to react to future events that have negative impacts on the airport's performance [3]. Within this process, what-if tools are possible instruments that facilitate decision-making [4].…”

Section: Introductionmentioning

confidence: 99%

“…What-if tools forecast the outcomes of events and chosen actions. As stakeholders will rely on these forecasts to make their decisions, the determination of the outcomes has to be very accurate on one side and easily comprehensible on the other [3]. Since the manual calculation of potential scenarios is time consuming, stakeholders are not able to evaluate Aerospace 2022, 9, 389 2 of 20 all scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Looking into the Crystal Ball—How Automated Fast-Time Simulation Can Support Probabilistic Airport Management Decisions

2022

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Airport management plays a key role in the air traffic system. Introducing resources at the right time can minimize the effects of disruptions, reduce delays, and save costs as well as optimize the carbon footprint of the airport. Efficient decision-making is a challenge due to the uncertainty of the upcoming events and the results of the applied countermeasures. So-called ‘what-if’ systems are under research to support the decision-makers. These systems consist of a user interface, a case management system, and a prediction engine. Within this paper, we evaluate different types of prediction engines (flow, event, and motion models) that can be used for airport management what-if systems by comparing them in terms of accuracy and calculation speed. Hence, two different operational situations are examined to evaluate the performance of the prediction engines. The comparison shows that accuracy and calculation speed are opposed. The flow model has the lowest accuracy but the shortest calculation time and the motion model has the highest accuracy but the longest calculation time. The event model lies between the other two models. The acceptable accuracy of a prediction tool is strongly dependent on the respective airport, whereas the calculation time is strongly dependent on the available decision time. Regarding airport management, this means that the selection of a prediction engine has to be made in dependence of the airport and the decision processes. The results show the advantages and disadvantages of each prediction engine and provide a first quantification by which a selection for what-if systems can happen.

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Section: Scenario Selection and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Looking into the Crystal Ball—How Automated Fast-Time Simulation Can Support Probabilistic Airport Management Decisions

2022

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“…As a concept, TAM is built around the idea of an Airport Operations Centre (APOC) where the main stakeholders are collaboratively working on a plan to improve the airport performance. More recently, [ 41 ] presented a concept for a what-if tool for TAM, to support decision-making and predicting overall effects of stakeholder actions and the comparison between several alternatives.…”

Section: Introductionmentioning

confidence: 99%

Impact Propagation in Airport Systems

Köpke

Srivastava

König

et al. 2021

Cyber-Physical Security for Critical Infrastructures Protection

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The effective protection of critical infrastructure against cyber and physical security threats involves many different steps from initially the identification of risks to finally the implementation of counter measures in the infrastructure. To derive counter measures and to come to intelligent decisions facing the identified risks, the impact calculation plays a central role. The impact of a specific threat can propagate through the systems of the infrastructure and thus needs to be analysed carefully. In this paper, the role of impact propagation of cyber-physical threats for infrastructure protection is discussed, exemplified for airport systems. In the ongoing EU-H2020 project SATIE (Security of Air Transport Infrastructure of Europe) a toolkit is developed containing two tools for impact propagation, namely the Business Impact Assessment (BIA) and the Impact Propagation Simulation (IPS). Both tools are described and for a small test case the propagation of a cyber threat and the transformation into a physical threat is demonstrated in a network representation as well as an agent-based model of the airport’s systems employing the IPS.

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Digitaler Airport Zwilling – Herausforderungen bei der digitalen Transformation von Flughäfen im Kontext des Airportmanagements

Deutschmann

Schier-Morgenthal

Kaltenhäuser

2021

At - Automatisierungstechnik

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Zusammenfassung Flughäfen entwickeln sich zu industriell-gesellschaftlichen Mobilitätsknoten. Als kritische Infrastrukturen stehen sie ebenfalls vor der Herausforderung effizient und klimaneutral zu agieren. Die Realisierung dieser Anforderungen ist nicht ausschließlich technologisch lösbar. Sie bedarf einer neuen Form des Managements, das alle genannten Aspekte berücksichtigt. Dieses Management erfordert Echtzeit- und Prognosedaten die den Zustand des Systems Flughafen wiederspiegeln. Eine Variante, die zum Management benötigten erheblich steigenden Datenmengen zu organisieren, liegt im Einsatz eines digitalen Zwillings als digitale Repräsentanz des realen Flughafens. Dessen Einbettung in eine Managementumgebung, deren Grundvoraussetzung eine What-If Fähigkeit ist, ermöglicht eine verbesserte und umfassendere Situationsbewertung und bildet die Basis für künftige Entscheidungsfindungsprozesse im Flughafen.

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What-if Analysis in Total Airport Management

Cited by 4 publications

References 3 publications

Looking into the Crystal Ball—How Automated Fast-Time Simulation Can Support Probabilistic Airport Management Decisions

Looking into the Crystal Ball—How Automated Fast-Time Simulation Can Support Probabilistic Airport Management Decisions

Impact Propagation in Airport Systems

Digitaler Airport Zwilling – Herausforderungen bei der digitalen Transformation von Flughäfen im Kontext des Airportmanagements

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