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Resilience Modeling for Quantifying Air-Traffic Disruption and Recovery under strong Storm

Kamo, Shumpei and Fürstenau, Norbert and Mittendorf, Monika (2016) Resilience Modeling for Quantifying Air-Traffic Disruption and Recovery under strong Storm. [Other]

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Abstract

Air traffic can easily be disrupted by various kinds of external disturbances. When it is disrupted, management actions should be taken to bring it back to a normal state. In order to find a desired management action, resilience is a key property which allows us to predict how complex social system would be recovered after disruption. In this paper, disrupted air traffic caused by a severe storm will be modeled from the perspective of resilience engineering. We will construct both static and dynamic models for describing disruption and recovery of air traffic under a strong storm. Then numerical simulations will be done with variety of parameter sets including stochastic terms. The model parameters will be optimized so that the model can describe empirical data. Mathematical properties of our model will also be studied for investigating further possibility of analysis. The results of this paper can be applied to Viability Theory to find an optimal management action. When thinking of optimal management action, practical operations should also be considered since our research is rather theoretically.

Item URL in elib:https://elib.dlr.de/99625/
Document Type:Other
Title:Resilience Modeling for Quantifying Air-Traffic Disruption and Recovery under strong Storm
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kamo, ShumpeiThe Univ. of Tokyo, Graduate School of Eng., Dptm. of Aeronautics & AstronauticsUNSPECIFIED
Fürstenau, Norbertnorbert.fuerstenau (at) dlr.deUNSPECIFIED
Mittendorf, Monikamonika.mittendorf (at) dlr.deUNSPECIFIED
Date:December 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-3
Editors:
EditorsEmail
UNSPECIFIEDThe Univ. of Tokyo
Status:Published
Keywords:resiliens, air traffic, storm, disruption, recovery, modeling
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Efficient Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Controller Assistance
Deposited By: Fürstenau, Dr.phil.nat. Norbert
Deposited On:27 Nov 2015 12:07
Last Modified:31 Jul 2019 19:56

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