Avaliação do impacto de rotas aditivas de tráfego sobre indicadores de desempenho e disponibilidade de sistemas metroferroviários.
Abstract
Mass transit railway systems require high performance and availability of equipment responsible for signaling and traffic control on the railway. Studies are needed to address these requirements, which are essential for optimizing the quality of these systems. This article proposes a set of models using stochastic Petri nets to evaluate the impact of implementing additive routes on the performance and availability of railway systems. The models are also capable of capturing the impact of signaling equipment availability on train performance indicators on the railway. The results demonstrate that the availability of the studied system can be increased from 81.674% to 98.456%.
References
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DNIT (2015). Departamento Nacional de Infraestrutura de Transportes, ISF 215: Projeto de Superestrutura da Via Permanente Aparelhos de Mudança de Via AMV.
Hai, N., Zhang, C.-Z., Yu, Y., and Tang, Y. (2019). Reliability analysis of clock source of railway time synchronization network based on spn. pages 45–48.
Lopes, A. (2019). Universidade federal rural de pernambuco (ufrpe). In Metodologia de Análise de Desempenho de Sistemas de Transporte Público, pages 18–20, Recife.
Maciel, P., Lins, R., and Cunha, P. (1996). Escola de Computação, Campinas.
MoDCS (2023). Research Group MoDCS. [link]. [Online; accessed 22-Agosto-2022].
Saideh, M., Alsaba, Y., Dayoub, I., and Berbineau, M. (2019). Performance evaluation of multi-carrier modulation techniques in high speed railway environment with impulsive noise. pages 243–248.
Silveira, M. R. (2003). A importância geoeconômica das estradas de ferro no brasil.
Songwiroj, N., Vatanawood, W., and Vanit-Anunchai, S. (2018). Railway network modeling using building block of timed coloured petri nets. pages 528–533.
Wu, D. and Liu, J. (2021). An approach to safety analysis of train control systems with coloured petri nets. pages 4744–4750.
Wu, D., Lu, D., and Tang, T. (2021). Qualitative and quantitative safety evaluation of train control systems (ctcs) with stochastic colored petri nets. IEEE Transactions on Intelligent Transportation Systems, pages 1–16.
Yilmazer, M. and Karakose, M. (2022). Railway condition monitoring and fault detection based on yolov4. In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), pages 439–443.
Published
2023-08-06
How to Cite
SANTOS NETO, Osvaldo M. dos; CALLOU, Gustavo R. de Almeida.
Avaliação do impacto de rotas aditivas de tráfego sobre indicadores de desempenho e disponibilidade de sistemas metroferroviários.. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 50. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 344-355.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2023.230779.
