—InATMsystems,themassivenumberofinteracting entitiesmakesitdifficulttopredictthesystem-wideeffectsthat innovationsmighthave.Here,wepresenttheapproachproposed bytheprojectDominotoassesssucheffectsandidentifythe impactthatinnovationsmightbringforthedifferentstakeholders,basedonagent-basedmodellingandcomplexnetwork science.Dominowillmodelscenariosmirroringdifferentsystem innovationswhichchangetheagents’actionsandbehaviour. Suitablenetworkmetricsareneededtoevaluatetheeffectof innovationsonthenetworkfunctioning.Wereviewexisting centralityandcausalitymetricsandshowtheirlimitationsin characterisingthenetworkbyapplyingthemtoadatasetof USflights.Wefinallysuggestimprovementsthatshouldbe introducedtoobtainnewmetricsansweringtoDomino’sneeds.
Mazzarisi, P., Zaoli, S., Lillo, F., Delgado, L., Gurtner, G. (2018). Toward new metrics assessing air traffic interaction. In Proceedings of the SESAR Innovation Days Conference (pp.1-8).
Toward new metrics assessing air traffic interaction
Piero Mazzarisi;
2018-01-01
Abstract
—InATMsystems,themassivenumberofinteracting entitiesmakesitdifficulttopredictthesystem-wideeffectsthat innovationsmighthave.Here,wepresenttheapproachproposed bytheprojectDominotoassesssucheffectsandidentifythe impactthatinnovationsmightbringforthedifferentstakeholders,basedonagent-basedmodellingandcomplexnetwork science.Dominowillmodelscenariosmirroringdifferentsystem innovationswhichchangetheagents’actionsandbehaviour. Suitablenetworkmetricsareneededtoevaluatetheeffectof innovationsonthenetworkfunctioning.Wereviewexisting centralityandcausalitymetricsandshowtheirlimitationsin characterisingthenetworkbyapplyingthemtoadatasetof USflights.Wefinallysuggestimprovementsthatshouldbe introducedtoobtainnewmetricsansweringtoDomino’sneeds.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1232328