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dc.contributor.authorBalsa-Barreiro, José
dc.contributor.authorValero-Mora, Pedro
dc.contributor.authorBerné Valero, José Luis
dc.contributor.authorVarela-García, Francisco-Alberto
dc.date.accessioned2019-07-01T16:43:31Z
dc.date.available2019-07-01T16:43:31Z
dc.date.issued2019
dc.identifier.citationBalsa-Barreiro, J.; Valero-Mora, P.M.; Berné-Valero, J.L.; Varela-García, F.-A. GIS mapping of driving behavior based on naturalistic driving data. ISPRS Int. J. Geo-Inf. 2019, 8, 226.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/23331
dc.descriptionEste artigo pertence ao número especial Smart Cartography for Big Data Solutions.es_ES
dc.description.abstract[Abstract:] Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider that these studies are commonly conducted by research groups with somewhat limited resources. It is quite common that these studies implement strategies for thinning and/or reducing the data volumes that have been initially collected. Thus, and unfortunately, the great potential of these datasets is significantly constrained to specific situations, events, and contexts. For this, to implement appropriate strategies for the visualization of these data is becoming increasingly necessary, at any scale. Mapping naturalistic driving data with Geographic Information Systems (GIS) allows for a deeper understanding of our driving behavior, achieving a smarter and broader perspective of the whole datasets. GIS mapping allows for many of the existing drawbacks of the traditional methodologies for the analysis of naturalistic driving data to be overcome. In this article, we analyze which are the main assets related to GIS mapping of such data. These assets are dominated by the powerful interface graphics and the great operational capacity of GIS software.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.urihttps://doi.org/10.3390/ijgi8050226es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectBig Dataes_ES
dc.subjectData visualizationes_ES
dc.subjectDriving behaviores_ES
dc.subjectGeographic information systemses_ES
dc.subjectKinematic (driving) dataes_ES
dc.subjectMappinges_ES
dc.subjectMicroscopic traffic modeles_ES
dc.subjectNaturalistic drivinges_ES
dc.titleGIS mapping of driving behavior based on naturalistic driving dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleISPRS International Journal of Geo-Informationes_ES
UDC.volume8es_ES
UDC.issue5es_ES
UDC.startPage1es_ES
UDC.endPage12es_ES
dc.identifier.doi10.3390/ijgi8050226


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