Serviço de Sugestão de Rotas Seguras para Veículos
Resumo
Considerando o crescente número de veículos nas cidades, aplicações capazes de informar a situação do tráfego nas vias se tornam mais utilizadas. Essas aplicações tem o objetivo de sugerir rotas, considerando congestionamentos e acidentes, identificados através de sensoriamento participativo. No entanto, existem outros problemas encontrados durante um percurso que afetam diretamente o usuário, como por exemplo, a criminalidade em uma determinada região. As regiões afetadas por uma alta incidência criminal podem evoluir durante o dia, dependendo do tipo do crime e da densidade de pessoas em uma determinada região. Portanto, esse trabalho tem o objetivo de propor um serviço capaz de identificar áreas com alta incidência criminal, levando em consideração a evolução do cenário, e sugerir rotas seguras que evitam essas regiões. A solução proposta permite obter uma rota mais segura sem comprometer o tempo do percurso, além disso, os resultados encontrados proporcionam verificar a capacidade de evitar regiões perigosas, tornando mais seguro o percurso de um condutor.
Palavras-chave:
Segurança, Engenharia de Tráfego, Roteamento
Referências
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Galbrun, E., Pelechrinis, K., and Terzi, E. (2016). Urban navigation beyond shortest route. Inf. Syst., 57(C):160–171.
Johnson, I., Henderson, J., Perry, C., Sch¨oning, J., and Hecht, B. (2017). Beautiful& hellip;but at what cost?: An examination of externalities in geographic vehicle routing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1(2):15:1–15:21.
Keler, A. and Mazimpaka, J. D. (2016). Safety-aware routing for motorised tourists based on open data and vgi. Journal of Location Based Services, 10(1):64–77.
Kim, J., Cha, M., and Sandholm, T. (2014). Socroutes: safe routes based on tweet sentiments. In Proceedings of the companion publication of the 23rd international conference on World wide web companion.
Kong, X., Everett, H., and Toussaint, G. (1990). The graham scan triangulates simple polygons. Pattern Recognition Letters, 11(11):713 – 716.
Pan, J., Popa, I. S., and Borcea, C. (2017). Divert: A distributed vehicular traffic rerouting system for congestion avoidance. IEEE Transactions on Mobile Computing, 16(1):58–72.
Quercia, D., Schifanella, R., Aiello, L., and Mclean, K. (2015). Smelly maps: The digital life of urban smellscapes. Proceedings of 9th International AAAI Conference on Web and Social Media (ICWSM2015).
Quercia, D., Schifanella, R., and Aiello, L. M. (2014). The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city. In Proceedings of the 25th ACM Conference on Hypertext and Social Media, HT ’14, pages 116–125, New York, NY, USA. ACM.
Santos, F. A., Rodrigues, D. O., Silva, T. H., Loureiro, A. A. F., Pazzi, R. W., and Villas, L. A. (2018a). Context-aware vehicle route recommendation platform: Exploring open and crowdsourced data. In 2018 IEEE International Conference on Communications (ICC), pages 1–7.
Santos, F. A., Silva, T. H., Loureiro, A. A. F., Boukerche, A., and Villas, L. A. (2018b). Identificac¸ ão da reputac¸ ão de ´A reas urbanas externas com dados de m´ıdias sociais. Anais do Simp´osio Brasileiro de Redes de Computadores e Sistemas Distribu´ıdos (SBRC), 36.
Shah, S., Bao, F., Lu, C.-T., and Chen, I.-R. (2011). Crowdsafe: Crowd sourcing of crime incidents and safe routing on mobile devices. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS ’11, pages 521–524, New York, NY, USA. ACM.
Taha, A. M. (2017). Facilitating safe vehicle routing in smart cities. In 2017 IEEE International Conference on Communications (ICC), pages 1–5.
Utamima, A. and Djunaidy, A. (2017). Be-safe travel, a web-based geographic application to explore safe-route in an area. AIP Conference Proceedings, 1867(1):020023.
Babu, V. S. and Viswanath, P. (2008). An efficient and fast parzen-window density based clustering method for large data sets. In 2008 First International Conference on Emerging Trends in Engineering and Technology, pages 531–536.
Brennand, C. A. R. L., Boukerche, A., Meneguette, R., and Villas, L. A. (2017). A novel urban traffic management mechanism based on fog. In 2017 IEEE Symposium on Computers and Communications (ISCC), pages 377–382.
Cunha, F., Maia, G., Celes, C., Santos, B., Rettore, P., Campolina, A., Guidoni, D., Souza, F., Ramos, H., Villas, L., Mini, R., and Loureiro, A. (2018). Sistemas de transporte inteligentes: Conceitos, aplicac¸ ˜oes e desafios. de Souza, A. M., Pedrosa, L. L. C., Botega, L. C., and Villas, L. (2018). Itssafe: An intelligent transportation system for improving safety and traffic efficiency. In 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), pages 1–7.
de Souza, A. M. and Villas, L. A. (2016). A fully-distributed traffic management system to improve the overall traffic efficiency. In Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM ’16, pages 19–26, New York, NY, USA. ACM.
de Souza, A. M., Yokoyama, R., Boukerche, A., Maia, G., Cerqueira, E., Loureiro, A. A., and Villas, L. A. (2016). Icarus: Improvement of traffic condition through an alerting and re-routing system. Computer Networks, 110:118 – 132.
Farias, A. (2018). As roubadas enfrentadas por motoristas ao seguir atalhos de aparelhos de gps. https://vejasp.abril.com.br/cidades/ roubadas-motoristas-dicas-rota-gps-waze/. Accessed: 2018-11-21.
Galbrun, E., Pelechrinis, K., and Terzi, E. (2016). Urban navigation beyond shortest route. Inf. Syst., 57(C):160–171.
Johnson, I., Henderson, J., Perry, C., Sch¨oning, J., and Hecht, B. (2017). Beautiful& hellip;but at what cost?: An examination of externalities in geographic vehicle routing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1(2):15:1–15:21.
Keler, A. and Mazimpaka, J. D. (2016). Safety-aware routing for motorised tourists based on open data and vgi. Journal of Location Based Services, 10(1):64–77.
Kim, J., Cha, M., and Sandholm, T. (2014). Socroutes: safe routes based on tweet sentiments. In Proceedings of the companion publication of the 23rd international conference on World wide web companion.
Kong, X., Everett, H., and Toussaint, G. (1990). The graham scan triangulates simple polygons. Pattern Recognition Letters, 11(11):713 – 716.
Pan, J., Popa, I. S., and Borcea, C. (2017). Divert: A distributed vehicular traffic rerouting system for congestion avoidance. IEEE Transactions on Mobile Computing, 16(1):58–72.
Quercia, D., Schifanella, R., Aiello, L., and Mclean, K. (2015). Smelly maps: The digital life of urban smellscapes. Proceedings of 9th International AAAI Conference on Web and Social Media (ICWSM2015).
Quercia, D., Schifanella, R., and Aiello, L. M. (2014). The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city. In Proceedings of the 25th ACM Conference on Hypertext and Social Media, HT ’14, pages 116–125, New York, NY, USA. ACM.
Santos, F. A., Rodrigues, D. O., Silva, T. H., Loureiro, A. A. F., Pazzi, R. W., and Villas, L. A. (2018a). Context-aware vehicle route recommendation platform: Exploring open and crowdsourced data. In 2018 IEEE International Conference on Communications (ICC), pages 1–7.
Santos, F. A., Silva, T. H., Loureiro, A. A. F., Boukerche, A., and Villas, L. A. (2018b). Identificac¸ ão da reputac¸ ão de ´A reas urbanas externas com dados de m´ıdias sociais. Anais do Simp´osio Brasileiro de Redes de Computadores e Sistemas Distribu´ıdos (SBRC), 36.
Shah, S., Bao, F., Lu, C.-T., and Chen, I.-R. (2011). Crowdsafe: Crowd sourcing of crime incidents and safe routing on mobile devices. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS ’11, pages 521–524, New York, NY, USA. ACM.
Taha, A. M. (2017). Facilitating safe vehicle routing in smart cities. In 2017 IEEE International Conference on Communications (ICC), pages 1–5.
Utamima, A. and Djunaidy, A. (2017). Be-safe travel, a web-based geographic application to explore safe-route in an area. AIP Conference Proceedings, 1867(1):020023.
Publicado
06/05/2019
Como Citar
LADEIRA, Lucas Zanco; SOUZA, Allan Mariano de; ROCHA FILHO, Geraldo Pereira; SILVA, Thiago Henrique; VILLAS, Leandro Aparecido.
Serviço de Sugestão de Rotas Seguras para Veículos. In: SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 37. , 2019, Gramado.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 608-621.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc.2019.7390.