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Towards generating a traffic slowness geospatial dataset of São Paulo city

dc.contributor.authorMendes, Jeferson F. [UNESP]
dc.contributor.authorNegri, Rogério G. [UNESP]
dc.contributor.authorSantos, Leonardo B.L.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCenter for Monitoring and Early Warning of Natural Disasters (CEMADEN)
dc.date.accessioned2023-07-29T13:13:44Z
dc.date.available2023-07-29T13:13:44Z
dc.date.issued2022-01-01
dc.description.abstractThe city of São Paulo is known for its extensive fleet of vehicles, which, combined with extreme precipitation and flooding events, makes traffic increasingly chaotic. The present work comprises an extracting, transforming and loading (ETL) process to generate a database of 2019 traffic slowness in São Paulo integrated with variables that may influence traffic, such as rainfall, floods, accidents and socioeconomic features. This dataset is expected to support more profound analysis and help in better traffic planning and decision-making.en
dc.description.affiliationDepartment of Environmental Engineering Sciences and Technology Institute São Paulo State University (UNESP), São Paulo
dc.description.affiliationCenter for Monitoring and Early Warning of Natural Disasters (CEMADEN), São Paulo
dc.description.affiliationUnespDepartment of Environmental Engineering Sciences and Technology Institute São Paulo State University (UNESP), São Paulo
dc.format.extent411-416
dc.identifier.citationProceedings of the Brazilian Symposium on GeoInformatics, p. 411-416.
dc.identifier.issn2179-4847
dc.identifier.scopus2-s2.0-85159072597
dc.identifier.urihttp://hdl.handle.net/11449/247349
dc.language.isoeng
dc.relation.ispartofProceedings of the Brazilian Symposium on GeoInformatics
dc.sourceScopus
dc.titleTowards generating a traffic slowness geospatial dataset of São Paulo cityen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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