Redesign of a statistical driver model for the 3D-method

dc.contributor.advisorTFEKüçükay, Ferit
dc.contributor.advisorTFELópez Taberna, Jesús
dc.contributor.affiliationEscuela Técnica Superior de Ingenieros Industriales y de Telecomunicaciónes_ES
dc.contributor.affiliationTelekomunikazio eta Industria Ingeniarien Goi Mailako Eskola Teknikoaeu
dc.contributor.affiliationTechnische Universität Braunschweig (Alemania)de
dc.contributor.authorPradini Aranda, Miguel
dc.contributor.departmentIngeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentIngeniaritza Elektrikoa eta Elektronikoaeu
dc.date.accessioned2013-12-12T12:49:29Z
dc.date.available2013-12-12T12:49:29Z
dc.date.issued2013
dc.description.abstractIn the field of customer use of the development of vehicles, the so called 3D method allows the representation of the customer behavior through the parameter space. Building a statistical driver to work with this method is a challenging problem given the limitations of available data and the high statistical accuracy requirements in the simulation of strongly correlated variables. Previous students have failed to group the information in a way that preserves the information available. Through this document, the different simulation strategies that were built will be described with focus on the one that proved to be the most successful. This technique is based in the creation of variable length blocks of information to be resampled en reorganized during the simulation. The statistical resemblance among the real and the simulated roads leaves us one step closer to the creation our statistical driver that will be used for simulation and optimization purposes.en
dc.description.degreeIngeniería Industriales_ES
dc.description.degreeIndustria Ingeniaritzaeu
dc.format.mimetypeapplication/pdfen
dc.identifier.other0000578165es_ES
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/8754
dc.language.isoengen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectVehiclesen
dc.subjectThree D [3D] methoden
dc.titleRedesign of a statistical driver model for the 3D-methoden
dc.typeinfo:eu-repo/semantics/studentThesis
dspace.entity.typePublication
relation.isAdvisorTFEOfPublicationce96d655-13d7-4565-9a92-86f6ce78e460
relation.isAdvisorTFEOfPublication.latestForDiscoveryce96d655-13d7-4565-9a92-86f6ce78e460

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