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Bioinspired Artificial Cockroach Colony Strategy Combined with 2-Type Fuzzy Logic for the Priority-Based Sanitization of Railway Stations

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection (PAAMS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13955))

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Abstract

Recent studies show that in railway stations, there is a high probability of being infected during the periods of a pandemic: passengers gathered in the corridors and platforms of stations, eating at restaurants, and getting on trains facilitate the transmission of diseases. The pandemic caused by the SARS-CoV-2 has spawned an important crisis that has affected the railway sector in a significant way, for example, by inducing people to prefer cars instead of trains. RFI S.p.A., in collaboration with the University of Naples “Federico II”, is studying methods to reduce the risks of contagion in railway stations, and robotics is demonstrated to be very helpful in attacking this issue. In this study, we propose a multi-robot online sanitization system that exploits the information about the position of people. The new method combines the Bioinspired Artificial Cockroach Colony Strategy with the 2-type Fuzzy Logic to coordinate together a team of robot sanitizers. The solution’s performances are compared with those of four different methods deployed in the same scenario, using real data shared by RFI S.p.A., showing better results.

Supported by the Italian Infrastructure Manager Rete Ferroviaria Italiana S.p.A.The source code of the system is available at the following link: https://github.com/Tavano1/MultiRobot_Sanitization_Railway.

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Acknowledgements

The research leading to these results has been supported by the Italian Infrastructure Manager Rete Ferroviaria Italiana S.p.A, and by the HARMONY project (Horizon 2020 Grant Agreement No. 101017008). The authors are solely responsible for its content.

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Authors and Affiliations

  1. Università degli Studi di Napoli “Federico II”, via Claudio 21, 80125, Naples, Italy

    Fabrizio Tavano, Riccardo Caccavale, Alberto Finzi & Vincenzo Lippiello

  2. Rete Ferroviaria Italiana, Piazza della Croce Rossa 1, 00161, Rome, Italy

    Fabrizio Tavano, Mirko Ermini, Eugenio Fedeli & Luca Ricciardi

Authors
  1. Fabrizio Tavano
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  2. Riccardo Caccavale
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  3. Mirko Ermini
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  4. Eugenio Fedeli
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  5. Luca Ricciardi
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  6. Alberto Finzi
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  7. Vincenzo Lippiello
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Correspondence to Fabrizio Tavano .

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Editors and Affiliations

  1. University of Lille, Lille, France

    Philippe Mathieu

  2. Umeå University, Umeå, Sweden

    Frank Dignum

  3. Universidade do Minho, Braga, Portugal

    Paulo Novais

  4. University of Salamanca, Salamanca, Spain

    Fernando De la Prieta

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Tavano, F. et al. (2023). Bioinspired Artificial Cockroach Colony Strategy Combined with 2-Type Fuzzy Logic for the Priority-Based Sanitization of Railway Stations. In: Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Lecture Notes in Computer Science(), vol 13955. Springer, Cham. https://doi.org/10.1007/978-3-031-37616-0_30

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  • DOI: https://doi.org/10.1007/978-3-031-37616-0_30

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