Publication:
Robust Flight Planning Impact Assessment Considering Convective Phenomena

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Aeroespaciales
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería Aeroespaciales
dc.contributor.authorGarcía-Heras Carretero, Javier
dc.contributor.authorSoler Arnedo, Manuel Fernando
dc.contributor.authorGonzález Arribas, Daniel
dc.contributor.authorEschbacher, Kurt
dc.contributor.authorRokitansky, Carl-Herbert
dc.contributor.authorSacher, Daniel
dc.contributor.authorGelhardt, Ulrike
dc.contributor.authorLang, Juergen
dc.contributor.authorHauf, Thomas
dc.contributor.authorSimarro, Juan
dc.contributor.authorValenzuela, Alfonso
dc.contributor.authorFranco, Antonio
dc.contributor.authorRivas, Damián
dc.contributor.funderEuropean Commissiones
dc.date.accessioned2022-04-07T12:03:58Z
dc.date.available2022-04-07T12:03:58Z
dc.date.issued2021-02-05
dc.description.abstractThunderstorms are one of the leading causes of Air Traffic Management delays. In this paper, we assess how incorporating convective information into flight planning algorithms can lead to reductions in reroutings due to storm encounters during the execution of the flight. We use robust open-loop optimal control methodology at the flight planning level and incorporate meteorological uncertainties based on Ensemble Prediction System forecasts. Convective risk areas can be derived from the latter to be included in the objective function. At the execution level, the planned trajectories are included in an air traffic simulator (NAVSIM) under observed weather (wind and storms). In this simulation process, track modifications might be triggered in case of encountering an observed thunderstorm. A tool termed DIVMET based on pathfinding algorithms has been integrated into NAVSIM is considered to that end. Results show that planning robust trajectories (avoiding thus convective areas) reduces the number of storms encounters and increases predictability. This increase in predictability is at a cost in terms of fuel and time, also quantified.en
dc.description.sponsorshipThis work has been supported by TBO-MET project (https://tbomet-h2020.com/), which has received funding from the SESAR JU under grant agreement No 699294 under EU’s Horizon 2020 research and innovation programme. Consortium members are UNIVERSIDAD DE SEVILLA (Coordinator), AEMET (Agencia Española de Meteorología), METEOSOLUTIONS GmbH, PARIS-LODRON-UNIVERSITAT SALZBURG, and UNIVERSIDAD CARLOS III DE MADRID.en
dc.description.statusPublicado
dc.format.extent16
dc.identifier.bibliographicCitationTransportation Research Part C: Emerging Technologies, (2021), v. 123, Article number 102968.
dc.identifier.doihttps://doi.org/10.1016/j.trc.2021.102968
dc.identifier.issn0968-090X
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue102968
dc.identifier.publicationlastpage16
dc.identifier.publicationtitleTransportation Research Part C: Emerging Technologies
dc.identifier.publicationvolume123
dc.identifier.urihttps://hdl.handle.net/10016/32419
dc.identifier.uxxiAR/0000026957
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/699294/
dc.relation.projectIDAT-2021
dc.rights© 2021 The Authors
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaAeronáuticaes
dc.subject.otherRobust flight-planningen
dc.subject.otherConvective weatheren
dc.subject.otherSimulationen
dc.titleRobust Flight Planning Impact Assessment Considering Convective Phenomenaen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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