Towards generating a traffic slowness geospatial dataset of São Paulo city
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803649476382949376 |