Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit
This study aims to identify the main contributing factors of accidents and to report on government actions to reduce road deaths and injuries. The characterization of traffic accidents recorded in the Federal Highway Police Department (PRF) database is performed using numerical and statistical metho...
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
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Facultad de Filosofía y Letras, Universidad de Buenos Aires
2018
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| Acceso en línea: | https://revistascientificas.filo.uba.ar/index.php/rtt/article/view/5331 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=5331_oai |
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I28-R145-5331_oai2025-11-17 Campos Soares, Lilian do Prado, Hércules Antônio Balaniuk, Remis Ferneda, Edilson De Bortoli, Adriano 2018-10-26 This study aims to identify the main contributing factors of accidents and to report on government actions to reduce road deaths and injuries. The characterization of traffic accidents recorded in the Federal Highway Police Department (PRF) database is performed using numerical and statistical methods, with data sample between 2014 and 2016 and considering the federal highway BR-101, which had the highest volume of traffic recorded in the period, according to data provided by the National Department of Transport Infrastructure (DNIT). In order to assist in the identification of the contributing factors of road accidents, it was made use of the knowledge discovery process in database, with the data mining technique and the Apriori algorithm. There was a reduction in the number of accidents in 2016 compared to 2014; possibly related to the intensification of PRF road inspection operations and recent educational campaigns among users of the transit system. Most of the identified causes of accidents were related to the behavior of the person driving the vehicle (incompatible speed, lack of attention, lack of safe distance, signaling disobedience, sleeping, alcohol intake and undue overrun). Este estudo pretende identificar os principais fatores contribuintes dos acidentes e relatar ações governamentais para a redução de mortes e lesões no trânsito. A caracterização dos acidentes de trânsito registrados na base de dados do Departamento de Polícia Rodoviária Federal (PRF) é realizada empregando métodos numéricos e estatísticos, com amostra de dados entre os anos de 2014 e 2016 e considerando a rodovia federal BR-101, a qual apresentou o mais alto volume de tráfego registrado no período segundo dados disponibilizados pelo Departamento Nacional de Infraestrutura de Transportes (DNIT). Para auxiliar na identificação dos fatores contribuintes dos acidentes rodoviários, foi feito uso do processo de descoberta de conhecimento em banco de dados, com a técnica de mineração de dados e o algoritmo Apriori. Observou-se redução na quantidade dos acidentes em 2016 com relação à 2014; possivelmente relacionada à intensificação das operações de fiscalização rodoviária da PRF e às recentes campanhas educativas junto aos usuários do sistema de trânsito. A maior parte das causas identificadas dos acidentes apresentou relação com o comportamento de quem conduz o veículo (velocidade incompatível, falta de atenção, não guardar distância de segurança, desobediência a sinalização, dormindo, ingestão de álcool e ultrapassagem indevida). application/pdf https://revistascientificas.filo.uba.ar/index.php/rtt/article/view/5331 10.34096/rtt.i19.5331 spa Facultad de Filosofía y Letras, Universidad de Buenos Aires https://revistascientificas.filo.uba.ar/index.php/rtt/article/view/5331/4752 Revista Transporte y Territorio; No. 19 (2018): (julio-diciembre) - Ciclismo urbano; 182-220 Revista Transporte y Territorio; Núm. 19 (2018): (julio-diciembre) - Ciclismo urbano; 182-220 1852-7175 accident traffic highway BR-101 data mining accidente tránsito carretera BR-101 minería de datos Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit Caracterização de acidentes rodoviários e as açoes governamentais para a redução de mortes e lesões no trânsito info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=5331_oai |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-145 |
| collection |
Repositorio Digital de la Universidad de Buenos Aires (UBA) |
| language |
Español |
| orig_language_str_mv |
spa |
| topic |
accident traffic highway BR-101 data mining accidente tránsito carretera BR-101 minería de datos |
| spellingShingle |
accident traffic highway BR-101 data mining accidente tránsito carretera BR-101 minería de datos Campos Soares, Lilian do Prado, Hércules Antônio Balaniuk, Remis Ferneda, Edilson De Bortoli, Adriano Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| topic_facet |
accident traffic highway BR-101 data mining accidente tránsito carretera BR-101 minería de datos |
| description |
This study aims to identify the main contributing factors of accidents and to report on government actions to reduce road deaths and injuries. The characterization of traffic accidents recorded in the Federal Highway Police Department (PRF) database is performed using numerical and statistical methods, with data sample between 2014 and 2016 and considering the federal highway BR-101, which had the highest volume of traffic recorded in the period, according to data provided by the National Department of Transport Infrastructure (DNIT). In order to assist in the identification of the contributing factors of road accidents, it was made use of the knowledge discovery process in database, with the data mining technique and the Apriori algorithm. There was a reduction in the number of accidents in 2016 compared to 2014; possibly related to the intensification of PRF road inspection operations and recent educational campaigns among users of the transit system. Most of the identified causes of accidents were related to the behavior of the person driving the vehicle (incompatible speed, lack of attention, lack of safe distance, signaling disobedience, sleeping, alcohol intake and undue overrun). |
| format |
Artículo publishedVersion |
| author |
Campos Soares, Lilian do Prado, Hércules Antônio Balaniuk, Remis Ferneda, Edilson De Bortoli, Adriano |
| author_facet |
Campos Soares, Lilian do Prado, Hércules Antônio Balaniuk, Remis Ferneda, Edilson De Bortoli, Adriano |
| author_sort |
Campos Soares, Lilian |
| title |
Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| title_short |
Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| title_full |
Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| title_fullStr |
Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| title_full_unstemmed |
Characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| title_sort |
characterization of road accidents and governmental actions for the reduction of deaths and injuries in transit |
| publisher |
Facultad de Filosofía y Letras, Universidad de Buenos Aires |
| publishDate |
2018 |
| url |
https://revistascientificas.filo.uba.ar/index.php/rtt/article/view/5331 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=5331_oai |
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