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A Digital Twin for Bus Operation in Public Urban Transportation Systems

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Big Data Intelligence and Computing (DataCom 2022)

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Abstract

Advances in technology, jointly with technology transfer and the digital transformation is leading to a new industrial revolution where digitalization enables the improvement of production and safety as well as operational effectiveness by monitoring, diagnosing and correcting process flaws. In this work, we propose a Digital Twin (DT) of a public transportation system in Badalona (Spain) for obtaining in depth understanding of the bus dynamics. We use a genetic algorithm for finding the most suitable configurations for simulating the traffic in a city based on real data. Results show that the proposed DT accurately reproduces the real traffic, the bus schedule and that it easily adapts to possible anomalies.

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Notes

  1. 1.

    https://www.openstreetmap.org/.

  2. 2.

    https://www.barcelona.cat/mobilitat/en.

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Acknowledgements

This work was supported by the Spanish Ministerio de Ciencia, Innovación y Universidades and the ERDF (iSUN – RTI2018-100754-B-I00), Junta de Andalucía and ERDF under contract P18-2399 (GENIUS), and ERDF under project (OPTIMALE – FEDER-UCA18-108393). This publication is part of the project TED2021-131880B-I00, funded MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTR. B. Dorronsoro and P. Ruiz acknowledge “ayuda de recualificación” funding by Ministerio de Universidades and the European Union-NextGenerationEU.

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Authors and Affiliations

  1. School of Engineering, University of Cadiz, Cadiz, Spain

    Patricia Ruiz, Álvaro Torné & Bernabé Dorronsoro

  2. E-Bus Competence Center, Schifflange, Luxembourg

    Marcin Seredynski

  3. Faculty of Engineering, The University of Sydney, Camperdown, Australia

    Patricia Ruiz & Bernabé Dorronsoro

Authors
  1. Patricia Ruiz
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  2. Marcin Seredynski
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  3. Álvaro Torné
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  4. Bernabé Dorronsoro
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Corresponding author

Correspondence to Patricia Ruiz .

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Editors and Affiliations

  1. Asia University, Taichung, Taiwan

    Ching-Hsien Hsu

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Mengwei Xu

  3. University of New Brunswick, Fredericton, NB, Canada

    Hung Cao

  4. Asia University, Taichung, Taiwan

    Hojjat Baghban

  5. University of Fiji, Samabula, Fiji

    A. B. M. Shawkat Ali

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Ruiz, P., Seredynski, M., Torné, Á., Dorronsoro, B. (2023). A Digital Twin for Bus Operation in Public Urban Transportation Systems. In: Hsu, CH., Xu, M., Cao, H., Baghban, H., Shawkat Ali, A.B.M. (eds) Big Data Intelligence and Computing. DataCom 2022. Lecture Notes in Computer Science, vol 13864. Springer, Singapore. https://doi.org/10.1007/978-981-99-2233-8_3

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  • DOI: https://doi.org/10.1007/978-981-99-2233-8_3

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