Towards generating a traffic slowness geospatial dataset of São Paulo city

Detalhes bibliográficos
Autor(a) principal: Mendes, Jeferson F. [UNESP]
Data de Publicação: 2022
Outros Autores: Negri, Rogério G. [UNESP], Santos, Leonardo B.L.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/247349
Resumo: The 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.
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spelling Towards generating a traffic slowness geospatial dataset of São Paulo cityThe 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.Department of Environmental Engineering Sciences and Technology Institute São Paulo State University (UNESP), São PauloCenter for Monitoring and Early Warning of Natural Disasters (CEMADEN), São PauloDepartment of Environmental Engineering Sciences and Technology Institute São Paulo State University (UNESP), São PauloUniversidade Estadual Paulista (UNESP)Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)Mendes, Jeferson F. [UNESP]Negri, Rogério G. [UNESP]Santos, Leonardo B.L.2023-07-29T13:13:44Z2023-07-29T13:13:44Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject411-416Proceedings of the Brazilian Symposium on GeoInformatics, p. 411-416.2179-4847http://hdl.handle.net/11449/2473492-s2.0-85159072597Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the Brazilian Symposium on GeoInformaticsinfo:eu-repo/semantics/openAccess2023-07-29T13:13:44Zoai:repositorio.unesp.br:11449/247349Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T13:13:44Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Towards generating a traffic slowness geospatial dataset of São Paulo city
title Towards generating a traffic slowness geospatial dataset of São Paulo city
spellingShingle Towards generating a traffic slowness geospatial dataset of São Paulo city
Mendes, Jeferson F. [UNESP]
title_short Towards generating a traffic slowness geospatial dataset of São Paulo city
title_full Towards generating a traffic slowness geospatial dataset of São Paulo city
title_fullStr Towards generating a traffic slowness geospatial dataset of São Paulo city
title_full_unstemmed Towards generating a traffic slowness geospatial dataset of São Paulo city
title_sort Towards generating a traffic slowness geospatial dataset of São Paulo city
author Mendes, Jeferson F. [UNESP]
author_facet Mendes, Jeferson F. [UNESP]
Negri, Rogério G. [UNESP]
Santos, Leonardo B.L.
author_role author
author2 Negri, Rogério G. [UNESP]
Santos, Leonardo B.L.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)
dc.contributor.author.fl_str_mv Mendes, Jeferson F. [UNESP]
Negri, Rogério G. [UNESP]
Santos, Leonardo B.L.
description The 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T13:13:44Z
2023-07-29T13:13:44Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Proceedings of the Brazilian Symposium on GeoInformatics, p. 411-416.
2179-4847
http://hdl.handle.net/11449/247349
2-s2.0-85159072597
identifier_str_mv Proceedings of the Brazilian Symposium on GeoInformatics, p. 411-416.
2179-4847
2-s2.0-85159072597
url http://hdl.handle.net/11449/247349
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the Brazilian Symposium on GeoInformatics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 411-416
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
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instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
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collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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