A dashboard for decision-making considering open data from federal highways
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sistemas & Gestão |
Texto Completo: | https://www.revistasg.uff.br/sg/article/view/1706 |
Resumo: | Highlights: The law of access to information guarantees that data is made available to the population. This data is in raw format and has no real use. Traffic accident records can be more informative. This requires the development of web technologies based on data science design concepts. Objective: Develop an informative dashboard with a user-friendly interface and web technology to make useful and simplified data available to the population. Methodology: Data regarding accidents on Brazilian federal roads, registered by the Federal Highway Patrol and made available as open data, were collected. Based on the principles established by the Open Government Data Initiative and through the concepts of data science projects associated with the R programming language, a dashboard was developed for interactive consultation of the accident data on federal roads. Results: The dashboard developed can provide information with a friendly interface, relating the recorded accidents with environmental parameters and road conditions, such as weather conditions, characteristics of the road sections, region, temporality, and the driver's sex and age. The information is presented in the dashboard through graphs, tables, and interactive maps, with the possibility to search accidents by combining filters and allowing access to direct information from accident statistics. Practical Implications: The dashboard developed, by providing clear and simplified useful data, serves as a support for strategies to prevent accidents on highways. The Federal Highway Patrol Department can use these data to reduce the inconvenience caused by traffic accidents. Originality: This dashboard model, focused specifically on traffic accident information management, brings innovation to processing and analyzing data from federal highways. Therefore, it aims to contribute to the public management of accidents in a simple manner by providing simplified information to the population. Keywords: Accessibility; Digital Inclusion; Data Analysis; Traffic Accidents. |
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A dashboard for decision-making considering open data from federal highwaysUm dashboard para tomada de decisão considerando dados abertos de rodovias federaisHighlights: The law of access to information guarantees that data is made available to the population. This data is in raw format and has no real use. Traffic accident records can be more informative. This requires the development of web technologies based on data science design concepts. Objective: Develop an informative dashboard with a user-friendly interface and web technology to make useful and simplified data available to the population. Methodology: Data regarding accidents on Brazilian federal roads, registered by the Federal Highway Patrol and made available as open data, were collected. Based on the principles established by the Open Government Data Initiative and through the concepts of data science projects associated with the R programming language, a dashboard was developed for interactive consultation of the accident data on federal roads. Results: The dashboard developed can provide information with a friendly interface, relating the recorded accidents with environmental parameters and road conditions, such as weather conditions, characteristics of the road sections, region, temporality, and the driver's sex and age. The information is presented in the dashboard through graphs, tables, and interactive maps, with the possibility to search accidents by combining filters and allowing access to direct information from accident statistics. Practical Implications: The dashboard developed, by providing clear and simplified useful data, serves as a support for strategies to prevent accidents on highways. The Federal Highway Patrol Department can use these data to reduce the inconvenience caused by traffic accidents. Originality: This dashboard model, focused specifically on traffic accident information management, brings innovation to processing and analyzing data from federal highways. Therefore, it aims to contribute to the public management of accidents in a simple manner by providing simplified information to the population. Keywords: Accessibility; Digital Inclusion; Data Analysis; Traffic Accidents.Destaques: A lei de acesso à informação garante que os dados sejam disponibilizados à população. Estes dados estão em forma bruta, sem real utilidade. Os registros de acidentes de trânsito podem ser mais informativos. Para isto é preciso desenvolver tecnologias web com base em conceitos de projeto de ciência de dados. Objetivo: Desenvolver um dashboard informativo, com interface amigável e tecnologia web, para disponibilização de dados úteis e simplificados à população. Metodologia: Foram coletados dados referentes aos acidentes em rodovias federais brasileiras, registrados pela Polícia Rodoviária Federal e disponibilizados como dados abertos. A partir dos princípios determinados pela Open Government Data e por meio de conceitos de projetos de ciências de dados associados à linguagem de programação R, elaborou-se um dashboard para consulta interativa dos dados de acidentes nas rodovias federais. Resultados: O dashboard desenvolvido é capaz de fornecer informações com interface amigável, relacionando os acidentes registrados com parâmetros ambientais e condições da rodovia, tais como condição climática, características de trechos das rodovias, região, temporalidade, sexo e idade do condutor, entre outros. As informações são apresentadas no dashboard por meio de gráficos, tabelas, mapas interativos, com possibilidade de pesquisar acidentes pela combinação de filtros, além de permitir o acesso a informações diretas de estatísticas de acidentes. Implicações práticas: O dashboard desenvolvido, por fornecer dados úteis apresentados de forma clara e simplificada, serve de subsídio para estratégias de prevenção a acidentes em rodovias. Estas podem ser empregadas pelo próprio Departamento de Polícia Rodoviária Federal, a fim de reduzir os transtornos causados pelos acidentes de trânsito. Originalidade: Este modelo de dashboard, focado especificamente em gestão de informações sobre acidentes de trânsito, traz a inovação do processamento e análise de dados de rodovias federais. Por isto, se preza a contribuir com a gestão pública de acidentes de forma simples a fornecer informações simplificadas à população. Palavras-chave: Acessibilidade; Inclusão digital; Análise de dados; Acidentes de trânsito.ABEC2023-06-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdftext/htmlapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/170610.20985/1980-5160.2023.v18n1.1706Sistemas & Gestão; v. 18 n. 1 (2023): ABRIL 20231980-516010.20985/1980-5160.2023.v18n1reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1706/1713https://www.revistasg.uff.br/sg/article/view/1706/1714https://www.revistasg.uff.br/sg/article/view/1706/1715https://www.revistasg.uff.br/sg/article/view/1706/1716Copyright (c) 2023 Sistemas & Gestãohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMiranda, Rodrigo Gabriel deKonrath, Andréa Cristina Zatelli, Maicon RafaelHoffmann, Yohana TaiseSilva, Silvio Aparecido da 2023-06-15T01:17:33Zoai:ojs.www.revistasg.uff.br:article/1706Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2023-06-15T01:17:33Sistemas & Gestão - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
A dashboard for decision-making considering open data from federal highways Um dashboard para tomada de decisão considerando dados abertos de rodovias federais |
title |
A dashboard for decision-making considering open data from federal highways |
spellingShingle |
A dashboard for decision-making considering open data from federal highways Miranda, Rodrigo Gabriel de |
title_short |
A dashboard for decision-making considering open data from federal highways |
title_full |
A dashboard for decision-making considering open data from federal highways |
title_fullStr |
A dashboard for decision-making considering open data from federal highways |
title_full_unstemmed |
A dashboard for decision-making considering open data from federal highways |
title_sort |
A dashboard for decision-making considering open data from federal highways |
author |
Miranda, Rodrigo Gabriel de |
author_facet |
Miranda, Rodrigo Gabriel de Konrath, Andréa Cristina Zatelli, Maicon Rafael Hoffmann, Yohana Taise Silva, Silvio Aparecido da |
author_role |
author |
author2 |
Konrath, Andréa Cristina Zatelli, Maicon Rafael Hoffmann, Yohana Taise Silva, Silvio Aparecido da |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Miranda, Rodrigo Gabriel de Konrath, Andréa Cristina Zatelli, Maicon Rafael Hoffmann, Yohana Taise Silva, Silvio Aparecido da |
description |
Highlights: The law of access to information guarantees that data is made available to the population. This data is in raw format and has no real use. Traffic accident records can be more informative. This requires the development of web technologies based on data science design concepts. Objective: Develop an informative dashboard with a user-friendly interface and web technology to make useful and simplified data available to the population. Methodology: Data regarding accidents on Brazilian federal roads, registered by the Federal Highway Patrol and made available as open data, were collected. Based on the principles established by the Open Government Data Initiative and through the concepts of data science projects associated with the R programming language, a dashboard was developed for interactive consultation of the accident data on federal roads. Results: The dashboard developed can provide information with a friendly interface, relating the recorded accidents with environmental parameters and road conditions, such as weather conditions, characteristics of the road sections, region, temporality, and the driver's sex and age. The information is presented in the dashboard through graphs, tables, and interactive maps, with the possibility to search accidents by combining filters and allowing access to direct information from accident statistics. Practical Implications: The dashboard developed, by providing clear and simplified useful data, serves as a support for strategies to prevent accidents on highways. The Federal Highway Patrol Department can use these data to reduce the inconvenience caused by traffic accidents. Originality: This dashboard model, focused specifically on traffic accident information management, brings innovation to processing and analyzing data from federal highways. Therefore, it aims to contribute to the public management of accidents in a simple manner by providing simplified information to the population. Keywords: Accessibility; Digital Inclusion; Data Analysis; Traffic Accidents. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06-14 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1706 10.20985/1980-5160.2023.v18n1.1706 |
url |
https://www.revistasg.uff.br/sg/article/view/1706 |
identifier_str_mv |
10.20985/1980-5160.2023.v18n1.1706 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1706/1713 https://www.revistasg.uff.br/sg/article/view/1706/1714 https://www.revistasg.uff.br/sg/article/view/1706/1715 https://www.revistasg.uff.br/sg/article/view/1706/1716 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Sistemas & Gestão http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Sistemas & Gestão http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf text/html application/pdf |
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Sistemas & Gestão; v. 18 n. 1 (2023): ABRIL 2023 1980-5160 10.20985/1980-5160.2023.v18n1 reponame:Sistemas & Gestão instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
reponame_str |
Sistemas & Gestão |
collection |
Sistemas & Gestão |
repository.name.fl_str_mv |
Sistemas & Gestão - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
||sg.revista@gmail.com|| periodicos@proppi.uff.br |
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1798320142100201472 |