Open Data Visualization of the Polícia Rodoviária Federal about accidents on Brazilian highways

• Victor G. P. de Mattos UTFPR
• Pedro H. V. Vasconcelos UTFPR
• Yussef Parcianello IFSC
• Nádia P. Kozievitch UTFPR
• Rita Berardi UTFPR

DOI: https://doi.org/10.5753/sbbd.2019.8822

Abstract

Traffic accidents are one of the main causes of death in Brazil and, in the last 10 years, more than 1.6 million accidents along with 83 thousand deaths were registered. This paper proposes an open-source prototype for the visualization of open data provided by Polícia Rodoviária Federal (PRF), mapping historically the most dangerous sections of the highways, the most frequent causes of accidents, and helps to identify patterns. The purpose of this paper is to promote the awareness of users, aiming at preventing and reducing the number of accidents on Brazilian highways, which today, in addition to human loss, generate an average loss of R$10 billion annually.

Keywords: Open Data Visualization, open data, visualization

References

Chang, K.-T. (2015). Introduction to geographic information systems. McGraw-Hill Higher Education Boston, Boston. https://doi.org/10.1016/0360-8352(77)90015-8

Cunha, M. A., Przeybilovicz, E., Macaya, J. F. M., and Santos, F. B. P. d. (2016). Smart cities: Transformação digital de cidades.

Dirks, S., Keeling, M., and Dencik, J. (2009). How smart is your city?: Helping cities measure progress. IBM Institute for Business Value, IBM Global Business Services, New York.

Kageyama, M., Kozievitch, N. P., and Berardi, R. (2019). Acidentes nas rodovias brasileiras nos ultimos 10 anos: uma an´alise com dados abertos. In XV Escola Regional de Banco de Dados, pages 79–87. https://doi.org/10.5753/erbd.2019.8480

Lemos, A. (2013). Cidades inteligentes. GV-executivo, 12(2):46–49.

Longley, P. A., Goodchild, M. F., Maguire, D. J., and Rhind, D. W. (2005). Geographic information systems and science. John Wiley & Sons, England. https://doi.org/10.1111/j.1477-9730.2005.00343_5.x

Lopes, G., Vidal, V. M. P., and Oliveira, M. (2016). Construção de linked data mashup para integração de dados da saúde pública. In SBBD 2016, pages 145–150.

Obe, R. and Hsu, L. (2011). Postgis in action. GEOInformatics, 14(8):30. https://doi.org/10.1080/10095020.2013.774108

Tao, W. (2013). Interdisciplinary urban gis for smart cities: advancements and opportunities. Geo-spatial Information Science, 16(1):25–34.

Vila, J., Kozievitch, N. P., Gadda, T. M. C., Fonseca, K., Rosa, M. O., Gomes, L. C., and Akbar, M. (2016). Urban mobility challenges - an exploratory analysis of public transportation data in curitiba. Revista de Informática Aplicada, 12(1). https://doi.org/10.13037/ras.vol12n1.145

Weiss, M. C., Bernardes, R. C., and Consoni, F. L. (2017). Cidades inteligentes: casos e perspectivas para as cidades brasileiras. Revista Tecnológica da Fatec Americana, 5(1):01–13.