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Fast 4D flight planning under uncertainty through parallel stochastic path simulation

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Aeroespaciales
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería Aeroespaciales
dc.contributor.authorGonzález Arribas, Daniel
dc.contributor.authorBaneshi, Fateme
dc.contributor.authorAndrés Endériz, Eduardo
dc.contributor.authorSoler Arnedo, Manuel Fernando
dc.contributor.authorJardines, Aniel
dc.contributor.authorGarcía-Heras Carretero, Javier
dc.date.accessioned2023-12-19T14:52:39Z
dc.date.available2023-12-19T14:52:39Z
dc.date.issued2023-03-01
dc.description.abstractThe Air Traffic Management system is evolving to deal with efficiency, capacity, safety and environmental challenges. Progress along these fronts requires the development of trajectory planning and prediction tools that can go beyond the current deterministic planning paradigm to deal with an uncertain meteorological and operational context. In this work, we introduce a novel flight planning methodology to generate weather-optimal 4D flight plans under uncertainty. By leveraging general-purpose computing on graphics processing units and combining continuous and discrete elements in an integrated fashion, we can simulate and evaluate multiple trajectory options under multiple scenarios in parallel, allowing us to provide quick iterations to a stochastic optimization algorithm. Our computational experiments show that our proposed solutions can provide efficient solutions in seconds, as required in practical settings, while allowing for simple integration of future extensions thanks to its simulation-based nature.en
dc.format.extent18es
dc.identifier.bibliographicCitationGonzález-Arribas, D., Baneshi, F., Andrés, E., Soler, M., Jardines, A., & García-Heras, J. (2023). Fast 4D flight planning under uncertainty through parallel stochastic path simulation. Transportation Research Part C: Emerging Technologies, 148, 104018en
dc.identifier.doihttps://doi.org/10.1016/j.trc.2023.104018
dc.identifier.issn0968-090X
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue104018es
dc.identifier.publicationlastpage18es
dc.identifier.publicationtitleTransportation Research Part C: Emerging Technologiesen
dc.identifier.publicationvolume148es
dc.identifier.urihttps://hdl.handle.net/10016/39116
dc.identifier.uxxiAR/0000033474
dc.language.isoenges
dc.publisherElsevieren
dc.rights© 2023 The Author(s).en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaAeronáuticaes
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.ecienciaIngeniería Industriales
dc.subject.otherAir traffic controlen
dc.subject.otherAircraft trajectoriesen
dc.subject.otherForecast uncertaintyen
dc.subject.otherParallel programmingen
dc.subject.otherTrajectory optimizationen
dc.titleFast 4D flight planning under uncertainty through parallel stochastic path simulationen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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