Safetrip: Suggested Itineraries to Reduce Accident Risk Factors

  • Cássio H. G. Morales Universidade Tecnológica Federal do Paraná
  • Luiz R. N. Agner Universidade Tecnológica Federal do Paraná
  • Mariana G. Luz Universidade Tecnológica Federal do Paraná
  • Nádia P. Kozievitch Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0003-2286-9623
  • Tatiana M. C. Gadda Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-7918-2104

Resumo


Every hour, five people are fatal victims of traffic accidents in Brazil. Between 2008 and 2016, more than 350 thousand people died from accidents on the roads and streets from the country. In this direction, this work proposes a prototype for suggesting safe routes, based on open data, in order to reduce the probability of the user being involved in an accident on a federal highway. For this, the application offers a web platform for viewing information on a suggested safe route, as well as the fastest route.

Palavras-chave: Smart Cities, Graphs, GIS

Referências

Andrade, F. R. d. and Antunes, J. L. F. (2019). Tendência do número de vı́timas em acidentes de trânsito nas rodovias federais brasileiras antes e depois da Década de Ação pela Segurança no Trânsito. Cadernos de Saúde Pública, 35(8):e00250218.

Associação Nacional de Transportes Públicos (2018). Sistema de Informações da Mobilidade Urbana da Associação Nacional de Transportes Público - SIMOB/ANTP, available at [link].

Cunha, M. A. (2016). Smart Cities: Transformação digital de cidades. Brasil: Programa Gestão Pública e Cidadania - PGPC, São Paulo.

Egenhofer, M. J. (1993). What’s special about spatial? database requirements for vehicle navigation in geographic space. SIGMOD Rec., 22(2):398–402.

He, Z. and Qin, X. (2017). Incorporating a safety index into pathfinding. Transportation Research Record, pages 63–70.

Johnson, I., Henderson, J., Perry, C., Schöning, J., and Hecht, B. (2017). Beautiful...but at what cost? an examination of the externalities in geographic vehicle routing. pages 2–3.

Kingsbury, H., Harris, D., and Durdin, P. (2015). Journey optimisation by safest route. pages 1–9.

Mrazovic, P. and Matskin, M. (2015). MobiCS: Mobile Platform for Combining Crowdsourcing and Participatory Sensing. In 2015 IEEE 39th Annual Computer Software and Applications Conference, pages 553–562, Taichung, Taiwan. IEEE.

Nizam, R. (2017). Safety aware vehicle routing algorithm, a weighted sum approach. Master’s thesis, Qatar University, Doha, Catar.

Samah, K. A. F. A., Ibrahim, S., Ghazali, N., Suffian, M., Mansor, M., and Latif, W. A. Mapping a hospital using OpenStreetMap and Graphhopper: A navigation system. Bulletin of Electrical Engineering and Informatics, 9(2).

Toth, P. and Vigo, D. (2014). Vehicle Routing: Problems, Methods, and Applications. Society for Industrial and Applied Mathematics.

Treat, J. R. (1980). A study of precrash factors involved in traffic accidents. HSRI Research Review, 10(6):35.
Publicado
16/05/2022
Como Citar

Selecione um Formato
MORALES, Cássio H. G.; AGNER, Luiz R. N.; LUZ, Mariana G.; KOZIEVITCH, Nádia P.; GADDA, Tatiana M. C.. Safetrip: Suggested Itineraries to Reduce Accident Risk Factors. In: CONCURSO DE TRABALHOS DE CONCLUSÃO DE CURSO EM SISTEMAS DE INFORMAÇÃO - SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 18. , 2022, Curitiba/PR. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 177-186. DOI: https://doi.org/10.5753/sbsi_estendido.2022.222652.