A Data-Centric Method to Improve the Safety of Municipal Public Transportation

• Vinícius G. J. Almeida Federal University of Viçosa (UFV) http://orcid.org/0000-0002-2068-8469
• Thais R. M. B. Silva Federal University of Viçosa (UFV) https://orcid.org/0000-0003-4924-7461
• Fabrício A. Silva Federal University of Viçosa (UFV) https://orcid.org/0000-0002-0713-0583

DOI: https://doi.org/10.5753/sbbd.2024.240889

Abstract

Context-aware routes represent a data-centric area that uses data to offer improvements in a city's flow of vehicles and/or people. Security is one of the contexts that has been highlighted recently, although the literature to date presents solutions mainly for private vehicles. This work proposes a user-centric method for constructing safe routes adapted to the characteristics of buses. Case studies were conducted for the cities of São Paulo and Curitiba, providing routes that avoid places with higher criminal risk, with an increase of, at most, around 12% in their average length, and respecting accessibility for passengers by evaluating roads' inclination.

Keywords: Urban Mobility, Context-Aware Routes, Public Transport and Security

References

Almeida, V., Silva, T., and Silva, F. (2022). Se for, vá na paz: Construindo rotas seguras para veículos coletivos urbanos. In Anais do XL Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 140–153, Porto Alegre, RS, Brasil. SBC.

Aragão, J. (2006). Curso de gestão integrada da mobilidade urbana. Secretaria Nacional de Transporte e Mobilidade Urbana da Universidade de Brasília, Brasília, DF.

Boarnet, M. G., Day, K., Anderson, C., McMillan, T., and Alfonzo, M. (2005). California’s safe routes to school program: impacts on walking, bicycling, and pedestrian safety. Journal of the American Planning Association, 71(3):301–317.

Bura, D., Singh, M., and Nandal, P. (2019). Predicting secure and safe route for women using google maps. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), pages 103–108.

de Souza, A. and Villas, L. (2020). Vem tranquilo: Rotas eficientes baseado na dinâmica urbana futura com deep learning e computação de borda. In Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 351–364, Porto Alegre, RS, Brasil. SBC.

Denstadli, J. M. and Jacobsen, J. K. S. (2011). The long and winding roads: Perceived quality of scenic tourism routes. Tourism Management, 32(4):780–789.

Félix Mata et al., Miguel Torres-Ruiz, G. G. R. Q. R. Z.-F. M. M.-I. E. L. (2016). A mobile information system based on crowd-sensed and official crime data for finding safe routes: A case study of mexico city. Mobile Information Systems, 2016:1–11.

Galbrun, E., Pelechrinis, K., and Terzi, E. (2016). Urban navigation beyond shortest route: The case of safe paths. Information Systems, 57:160–171.

Ladeira, L., de Souza, A., Silva, T., Filho, G. R., Peixoto, M. M., and Villas, L. (2020). Cerva: Roteamento contextual para veículos com risco espaço-temporal. In Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 379–392, Porto Alegre, RS, Brasil. SBC.

Ladeira, L., Souza, A., Pereira, G., Silva, T. H., and Villas, L. (2019). Serviço de sugestão de rotas seguras para veículos. In Anais do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 608–621, Porto Alegre, RS, Brasil. SBC.

Liu, Q., Kumar, S., and Mago, V. (2017). Safernet: Safe transportation routing in the era of internet of vehicles and mobile crowd sensing. 2017 14th IEEE Annual Consumer Communications Networking Conference (CCNC).

Madkour, A., Aref, W. G., Rehman, F. U., Rahman, M. A., and Basalamah, S. (2017). A survey of shortest-path algorithms. arXiv preprint arXiv:1705.02044.

Oliveira, M. V. R. and Garcia, I. C. (2021). Sugestões de rotas personalizadas para carrinheiros na coleta seletiva de materiais recicláveis. In Brazilian Symposium on Computer Networks and Distributed Systems.

Pires, C., Souza, W., Remboski, T., Aguiar, M., and Ferreira, P. (2014). Acoroute: Sistema de recomendação de rotas evitando congestionamento baseado em comunicação por feromônios. In Workshop de Computação Aplicada a Gestão do Meio Ambiente e Recursos Naturais, pages 1–4, Porto Alegre, RS, Brasil. SBC.

Qureshi, K. N. and Abdullah, A. H. (2013). A survey on intelligent transportation systems. Middle-East Journal of Scientific Research, 15(5):629–642.

Santos, F. A., Rodrigues, D. O., Silva, T. H., Loureiro, A. A. F., and Villas, L. A. (2017). Rotas veiculares cientes de contexto: Arcabouço e aná lise usando dados oficiais e sensoriados por usuários sobre crimes. In Anais do XXII Workshop de Gerência e Operação de Redes e Serviços, Porto Alegre, RS, Brasil. SBC.

Tompson, L., Partridge, H., and Shepherd, N. (2009). Hot routes: Developing a new technique for the spatial analysis of crime. Crime Mapping: A Journal of Research and Practice, 1(1):77–96.

Vahdat-Nejad, H., Ramazani, A., Mohammadi, T., and Mansoor, W. (2016). A survey on context-aware vehicular network applications. Vehicular Communications, 3:43–57.

Winters, M., Babul, S., Becker, H., Brubacher, J. R., Chipman, M., Cripton, P., Cusimano, M. D., Friedman, S. M., Harris, M. A., Hunte, G., et al. (2012). Safe cycling: how do risk perceptions compare with observed risk? Canadian journal of public health, 103:S42–S47.