Combination and Selection of Traffic Safety Expert Judgments for the Prevention of Driving Risks

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloInstituto de Investigaciones en Ingeniería Industrial es
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2017-03-27T14:51:34Z
dc.date.available2017-03-27T14:51:34Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/5435
dc.titleCombination and Selection of Traffic Safety Expert Judgments for the Prevention of Driving Risksen
dc.typeArtículoes
dcterms.abstractIn this paper, we describe a new framework to combine experts’ judgments forthe prevention of driving risks in a cabin truck. In addition, the methodology shows how tochoose among the experts the one whose predictions fit best the environmental conditions.The methodology is applied over data sets obtained from a high immersive cabin trucksimulator in natural driving conditions. A nonparametric model, based in NearestNeighbors combined with Restricted Least Squared methods is developed. Three expertswere asked to evaluate the driving risk using a Visual Analog Scale (VAS), in order tomeasure the driving risk in a truck simulator where the vehicle dynamics factors werestored. Numerical results show that the methodology is suitable for embedding in real timesystems.en
dcterms.creator.authorCabello, Enriquees
dcterms.creator.authorConde, Cristinaes
dcterms.creator.authorde Diego, Isaac Martínes
dcterms.creator.authorMoguerza, Javier M.es
dcterms.creator.authorRedchuk, Andréses
dcterms.extent20 p.es
dcterms.identifier.otherDOI 10.3390/s121114711es
dcterms.identifier.urlDocumento completoes
dcterms.isPartOf.issuevol. 12, nº 11es
dcterms.isPartOf.seriesSensorses
dcterms.issued2012-11
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectdriving risksen
dcterms.subjectfusion of judgmentsen
dcterms.subjectselection of expertsen
dcterms.subjectregressionen
dcterms.subject.materiaIngenierías y Tecnologíases
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