Criação de Modelo para Simulação de Movimentação de Ônibus a Partir de Dados Reais
Resumo
A dinâmica socioespacial de uma cidade sofre constantes mudanças ao longo do tempo. Por consequência, a malha viária e o sistema de transporte público precisam de otimizações contínuas para atender às demandas dos cidadãos. Nesse contexto, uma boa alternativa para reduzir custos e impactos na avaliação de soluções é o emprego de simuladores que utilizem modelos consistentes com a realidade. Em vista disso, processamos dados de deslocamento e de planejamento do sistema de ônibus de São Paulo para melhorar o modelo de movimentação de ônibus usado pelo InterSCSimulator, um simulador altamente escalável para cidades inteligentes. Apresentamos um modelo de movimentação baseado em dados reais do serviço de ônibus de São Paulo a fim de tornar o simulador mais eficaz ao recriar cenários de mobilidade urbana.
Referências
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C. Zhou, P. Dai, F. Wang, and Z. Zhang, “Predicting the passenger demand on bus services for mobile users,” Pervasive and Mobile Computing, vol. 25, pp. 48 – 66, 2016.
M. M. Rahman, S. Wirasinghe, and L. Kattan, “Analysis of bus travel time distributions for varying horizons and real-time applications,” Transportation Research Part C: Emerging Technologies, vol. 86, pp. 453 – 466, 2018.
H. Yu, D. Chen, Z. Wu, X. Ma, and Y. Wang, “Headway-based bus bunching prediction using transit smart card data,” Transportation Research Part C: Emerging Technologies, vol. 72, pp. 45 – 59, 2016.
A. Caragliu, C. D. Bo, and P. Nijkamp, “Smart cities in europe,” Journal of Urban Technology, vol. 18, no. 2, pp. 65–82, 2011.
C. Benevolo, R. P. Dameri, and B. D’Auria, “Smart mobility in smart city,” in Empowering Organizations (T. Torre, A. M. Braccini, and R. Spinelli, eds.), (Cham), pp. 13–28, Springer International Publishing, 2016.
E. F. Z. Santana, N. Lago, F. Kon, and D. S. Milojicic, “Interscsimulator: Large-scale traffic simulation in smart cities using erlang,” in The 18th Workshop on Multi-agent-based Simulation - MABS 2017, 2017.
J. de Dios Ortúzar and L. G. Willumsen, Modelling Transport. John Wiley & Sons, 2011.
F. J. Ros, J. A. Martinez, and P. M. Ruiz, “A survey on modeling and simulation of vehicular networks: Communications, mobility, and tools,” Computer Communications, vol. 43, pp. 1 – 15, 2014.
T. Nam and T. A. Pardo, “Conceptualizing smart city with dimensions of technology, people, and institutions,” in Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, dg.o ’11, (New York, NY, USA), pp. 282–291, ACM, 2011.
R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, N. Pichler-Milanović, and E. Meijers, “Ranking of european medium-sized cities,” tech. rep., Vienna University of Technology, 10 2007.
E. F. Z. Santana, A. P. Chaves, M. A. Gerosa, F. Kon, and D. S. Milojicic, “Software platforms for smart cities: Concepts, requirements, challenges, and a unified reference architecture,” ACM Comput. Surv., vol. 50, pp. 78:1–78:37, Nov. 2017.
M.-L. Marsal-Llacuna, J. Colomer-Llinàs, and J. Meléndez-Frigola, “Lessons in urban monitoring taken from sustainable and livable cities to better address the smart cities initiative,” Technological Forecasting and Social Change, vol. 90, pp. 611 – 622, 2015.
P. Neirotti, A. D. Marco, A. C. Cagliano, G. Mangano, and F. Scorrano, “Current trends in smart city initiatives: Some stylised facts,” Cities, vol. 38, pp. 25 – 36, 2014.
C. Zhou, P. Dai, F. Wang, and Z. Zhang, “Predicting the passenger demand on bus services for mobile users,” Pervasive and Mobile Computing, vol. 25, pp. 48 – 66, 2016.
M. M. Rahman, S. Wirasinghe, and L. Kattan, “Analysis of bus travel time distributions for varying horizons and real-time applications,” Transportation Research Part C: Emerging Technologies, vol. 86, pp. 453 – 466, 2018.
H. Yu, D. Chen, Z. Wu, X. Ma, and Y. Wang, “Headway-based bus bunching prediction using transit smart card data,” Transportation Research Part C: Emerging Technologies, vol. 72, pp. 45 – 59, 2016.
Publicado
25/07/2018
Como Citar
WEN, Melissa; ROSA, Thatiane de O.; SOUZA, Mariana C.; ALEIXO, Robson P.; ALVES, Camilla; SÁ, Lucas; SANTANA, Eduardo Felipe Zambom; KON, Fabio.
Criação de Modelo para Simulação de Movimentação de Ônibus a Partir de Dados Reais. In: WORKSHOP BRASILEIRO DE CIDADES INTELIGENTES (WBCI), 1. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 31-40.
DOI: https://doi.org/10.5753/wbci.2018.3225.
