dc.creator | García Heras, Javier | es |
dc.creator | Soler, Manuel | es |
dc.creator | González Arribas, Daniel | es |
dc.creator | Eschbacher, Kurt | es |
dc.creator | Rokitansky, Carl-Herbert | es |
dc.creator | Sacher, Daniel | es |
dc.creator | Gelhardt, Ulrike | es |
dc.creator | Lang, Jürgen | es |
dc.creator | Hauf, Thomas | es |
dc.creator | Simarro, Juan | es |
dc.creator | Valenzuela Romero, Alfonso | es |
dc.date.accessioned | 2022-09-13T14:59:47Z | |
dc.date.available | 2022-09-13T14:59:47Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | García Heras, J., Soler, M., González Arribas, D., Eschbacher, K., Rokitansky, C., Sacher, D.,...,Valenzuela Romero, A. (2021). Robust flight planning impact assessment considering convective phenomena. Transportation Research Part C: Emerging Technologies, 123, Article number 102968. | |
dc.identifier.issn | 0968-090X | es |
dc.identifier.uri | https://hdl.handle.net/11441/137037 | |
dc.description | Article number 102968 | es |
dc.description.abstract | Thunderstorms 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. | es |
dc.description.sponsorship | Horizonte 2020 (Unión Europea) 699294 | es |
dc.format | application/pdf | es |
dc.format.extent | 16 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier Ltd | es |
dc.relation.ispartof | Transportation Research Part C: Emerging Technologies, 123, Article number 102968. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Robust flight-planning | es |
dc.subject | Convective weather | es |
dc.subject | Simulation | es |
dc.title | Robust flight planning impact assessment considering convective phenomena | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos | es |
dc.relation.projectID | 699294 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0968090X21000061 | es |
dc.identifier.doi | 10.1016/j.trc.2021.102968 | es |
dc.journaltitle | Transportation Research Part C: Emerging Technologies | es |
dc.publication.volumen | 123 | es |
dc.publication.initialPage | Article number 102968 | es |
dc.contributor.funder | Universidad de Sevilla | es |
dc.contributor.funder | Agencia Española de Meteorología (AEMET) | es |