Intelligent Road Intersections: A Case for Digital Twins
Resumo
As cidades são baseadas em sistemas complexos que usam infraestruturas legadas e soluções modernas e inteligentes para alcançar um funcionamento altamente eficiente da sociedade. No contexto das interseções rodoviárias, o principal objetivo é oferecer serviços de mobilidade seguros, eficientes e confiáveis para todos os agentes envolvidos no espaço físico (infraestrutura, veículos e pedestres). O paradigma do gêmeo digital tem sido recentemente considerado, tanto pela academia quanto pelas empresas, um meio para alcançar soluções de transporte inteligentes. Este artigo faz uma defesa dos gêmeos digitais como arcabouço de cruzamentos inteligentes de forma a consolidar o monitoramento, o controle e a da sua gestão em tempo real. O projeto de um arcabouço e o desenvolvimento de um testbed são apresentados neste artigo. Novas funcionalidades para o funcionamento seguro do cruzamento rodoviário são os resultados esperados desta proposta.
Palavras-chave:
Digital Twins, Intelligent Transportation Systems, Road Intersections
Referências
Bao, L., Wang, Q., and Jiang, Y. (2021). Review of digital twin for intelligent transportation system. In 2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT), pages 309–315.
Budan, G., Hayatleh, K., Morrey, D., Ball, P., and Shadbolt, P. (2018). An analysis of vehicle-to-infrastructure communications for non-signalised intersection control under mixed driving behaviour. Analog Integrated Circuits and Signal Processing, 95(3):415–422.
Deka, L., Khan, S., Chowdhury, M., and Ayres, N. (2018). Transportation Cyber-Physical System and its importance for future mobility, pages 1–20.
Grieves, M. and Vickers, J. (2017). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems, pages 85–113. Springer.
Kant, V. (2016). Cyber-physical systems as sociotechnical systems: a view towards human–technology interaction. Cyber-Physical Systems, 2(1-4):75–109.
Okai, E., Feng, X., and Sant, P. (2018). Smart cities survey. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pages 1726–1730.
Semeraro, C., Lezoche, M., Panetto, H., and Dassisti, M. (2021). Digital twin paradigm: A systematic literature review. Computers in Industry, 130.
Budan, G., Hayatleh, K., Morrey, D., Ball, P., and Shadbolt, P. (2018). An analysis of vehicle-to-infrastructure communications for non-signalised intersection control under mixed driving behaviour. Analog Integrated Circuits and Signal Processing, 95(3):415–422.
Deka, L., Khan, S., Chowdhury, M., and Ayres, N. (2018). Transportation Cyber-Physical System and its importance for future mobility, pages 1–20.
Grieves, M. and Vickers, J. (2017). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems, pages 85–113. Springer.
Kant, V. (2016). Cyber-physical systems as sociotechnical systems: a view towards human–technology interaction. Cyber-Physical Systems, 2(1-4):75–109.
Okai, E., Feng, X., and Sant, P. (2018). Smart cities survey. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pages 1726–1730.
Semeraro, C., Lezoche, M., Panetto, H., and Dassisti, M. (2021). Digital twin paradigm: A systematic literature review. Computers in Industry, 130.
Publicado
31/07/2022
Como Citar
MARTÍNEZ, Víctor M. G.; RIBEIRO, Moisés R. N.; CAMPELO, Divanilson R..
Intelligent Road Intersections: A Case for Digital Twins. In: WORKSHOP BRASILEIRO DE CIDADES INTELIGENTES (WBCI), 3. , 2022, Niterói.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 151-158.
DOI: https://doi.org/10.5753/wbci.2022.223311.
