Análisis de datos de accidentalidad vial de la ciudad de Bogotá a partir de datos abiertos y datos obtenidos desde redes sociales

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dc.contributor.advisorPedraza Bonilla, César Augustospa
dc.contributor.authorVargas Montero, Fernandospa
dc.contributor.researchgroupPlas Programming languages And Systemsspa
dc.coverage.cityBogotáspa
dc.coverage.countryColombiaspa
dc.date.accessioned2022-06-13T18:59:40Z
dc.date.available2022-06-13T18:59:40Z
dc.date.issued2022-03-18
dc.descriptionilustraciones, gráficas, mapas, tablasspa
dc.description.abstractLa accidentalidad vial es un tema que siempre se desea minimizar, pero no se han aplicado técnicas tecnológicas para encontrar y entender el comportamiento vial según las distintas variables que intervienen. Por esta necesidad se genera un motivo de poder aportar a esta comprensión de la accidentalidad vial para así mismo apoyar en la mitigación y de este modo lograr salvar vidas. En este trabajo se encontrará desde las arquitectura y técnicas de extracción de los datos viales en la ciudad de Bogotá, hasta el análisis estadístico para poder comprender el comportamiento de este. Para poder llegar al análisis estadístico inicialmente se realizó una arquitectura autosostenible de recolección de datos viales en la ciudad de Bogotá a través de redes sociales. Al tener ya recolectada la información se procedió a su representación en una herramienta geográfica para su comprensión visual. Se procede a un análisis inicial de estos datos. Luego se aplican técnicas estadísticas geográficas para su análisis estadístico. (Texto tomado de la fuente).spa
dc.description.abstractRoad accidents are an issue that we always want to minimize, but technological techniques have not been applied to find and understand road behavior according to the different variables involved. Due to this need, a reason is generated to be able to contribute to this understanding of road accidents to support mitigation and thus save lives. In this work you will find everything from the architecture and techniques of extracting road data in the city of Bogotá, to the statistical analysis to understand its behavior. To reach the statistical analysis, a self-sustaining architecture for road data collection was initially carried out in the city of Bogotá through social networks. Having already collected the information, it was represented in a geographic tool for visual understanding. An initial analysis of these data is carried out, then geographical statistical techniques are then applied for statistical analysis.eng
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ingeniería - Ingeniería de Sistemas y Computaciónspa
dc.description.researchareaSistemas inteligentesspa
dc.format.extentxiv, 81 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/81571
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.departmentDepartamento de Ingeniería de Sistemas e Industrialspa
dc.publisher.facultyFacultad de Ingenieríaspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y Computaciónspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::003 - Sistemasspa
dc.subject.lembData miningeng
dc.subject.lembMinería de datosspa
dc.subject.lembSocial Networkseng
dc.subject.lembRedes socialesspa
dc.subject.lembTraffic accidentseng
dc.subject.lembAccidentes de tránsitospa
dc.subject.proposalAnálisis espacialspa
dc.subject.proposalMinería de datos espacialesspa
dc.subject.proposalTráficospa
dc.subject.proposalAccidentesspa
dc.subject.proposalGeoestadísticaspa
dc.subject.proposalSpatial analysiseng
dc.subject.proposalGeostatisticseng
dc.subject.proposalWazeeng
dc.subject.proposalTwittereng
dc.subject.proposalSpatial data miningeng
dc.subject.proposalTrafficeng
dc.subject.proposalAccidentseng
dc.titleAnálisis de datos de accidentalidad vial de la ciudad de Bogotá a partir de datos abiertos y datos obtenidos desde redes socialesspa
dc.title.translatedAnalysis of road accident data in Bogotá city from open data and data on social networkseng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
dcterms.audience.professionaldevelopmentMedios de comunicaciónspa
dcterms.audience.professionaldevelopmentPúblico generalspa
dcterms.audience.professionaldevelopmentResponsables políticosspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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