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An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic

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Computational Science – ICCS 2023 (ICCS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14073))

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Abstract

Tsunamis and earthquakes have a great impact in human lives, infrastructures and economy. Although preventing tsunamis from occurring is impossible, minimizing their negative effects is in our hands. The aim of the Intelligent Transportation System (ITS) proposed in this paper is to provide safer routes for emergency and rescue vehicles. This system must consider the information regarding the tsunami alert system and the road state combined with the vehicle performance. Complex Event Processing (CEP) technology allows us to gather and process the information provided by authorities to establish the alert level. A Fuzzy Inference System (FIS) can be used to consider the uncertain regarding the road-status related concepts, such as, flood, objects and alert levels, and to assist authorities to determine whether roads are accessible. The information obtained through these technologies can then be used in a Colored Petri Net (CPN) model in order to obtain safer routes. This proposal has been applied to the Spanish city of Cádiz, due to its population density and its location in a small peninsula close to an active tectonic rift.

This work was supported in part by the Spanish Ministry of Science and Innovation and the European Union FEDER Funds under grants PID2021-122215NB-C32 and PID2021-122215NB-C33.

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Notes

  1. 1.

    This figure has been designed using images from Flaticon.com.

  2. 2.

    Designed using the mapbox by Raúl Sánchez, elDiario.es (CC BY-NC 4.0).

  3. 3.

    Bindings are variable assignments, considering the tokens on the precondition places, and the variables labeling the arcs.

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Author information

Authors and Affiliations

  1. School of Computer Science, Universidad de Castilla-La Mancha, Albacete, Spain

    Gregorio Díaz, Hermenegilda Macià, Enrique Brazález, M. Carmen Ruiz & Valentín Valero

  2. Department of Computer Science and Engineering, University of Cadiz, Puerto Real, Cádiz, Spain

    Juan Boubeta-Puig

Authors
  1. Gregorio Díaz
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  2. Hermenegilda Macià
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  3. Enrique Brazález
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  4. Juan Boubeta-Puig
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  5. M. Carmen Ruiz
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  6. Valentín Valero
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Corresponding author

Correspondence to Gregorio Díaz .

Editor information

Editors and Affiliations

  1. Czech Technical University in Prague, Prague, Czech Republic

    Jiří Mikyška

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M.A. Sloot

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Díaz, G., Macià, H., Brazález, E., Boubeta-Puig, J., Ruiz, M.C., Valero, V. (2023). An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 14073. Springer, Cham. https://doi.org/10.1007/978-3-031-35995-8_4

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  • DOI: https://doi.org/10.1007/978-3-031-35995-8_4

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