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Decision Support Tool Employing Bayesian Risk Framework for Environmentally Safe Shipping

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Modeling, Computing and Data Handling Methodologies for Maritime Transportation

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 131))

Abstract

Due to the significant increase of tanker traffic from and to the Black Sea that pass through narrow straits formed by the 1600 Greek islands, the Aegean Sea is characterized by an extremely high marine environmental risk. Therefore it is vital to all socio-economic and environmental sectors to reduce the risk of a ship accident in that area. In this chapter a web tool for environmentally safe shipping is presented. The proposed tool focuses on extracting aggregated statistics using spatial analysis of multilayer information: vessel trajectories, vessel data as well as information regarding environmentally important areas. The decision support system includes preprocessing, clustering of trajectories (based on their spatial similarity) and risk assessment employing probabilistic models (Bayesian network). Applications of the web tool are presented in areas such as marine traffic monitoring in environmentally protected areas, and influence of restricted areas in marine traffic. Results demonstrate that the web tool can provide essential information for maritime policy makers.

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Notes

  1. 1.

    Meltemia are very strong, prevailing winds in the area of central Aegean Sea during Summer.

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Acknowledgements

This work was carried out in the framework of the project “AMINESS: Analysis of Marine Information for Environmentally Safe Shipping” that was co-financed by the European Fund for Regional Development and by Greek National funds through the operational programs “Competitiveness and Entrepreneurship” and “Regions in Transition” of the National Strategic Reference Framework—Action: “COOPERATION 2011 Partnerships of Production and Research Institutions in Focused Research and Technology Sectors”.

Author information

Authors and Affiliations

  1. Institute of Informatics and Telecommunications, National Centre for Scientific Research “DEMOKRITOS”, Aghia Paraskevi, Greece

    Sotirios Gyftakis, Theodore Giannakopoulos, Eleni Charou & Stavros Perantonis

  2. Institute of Nuclear and Radiological Sciences and Technology, Energy and Safety, National Centre for Scientific Research “DEMOKRITOS”, Aghia Paraskevi, Greece

    Ioanna Koromila & Zoe Nivolianitou

  3. Ship Dynamics, Stability and Safety Research Group, Department of Naval Architecture and Marine Engineering, National Technical University of Athens, Athens, Greece

    Ioanna Koromila

Authors
  1. Sotirios Gyftakis
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  2. Ioanna Koromila
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  3. Theodore Giannakopoulos
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  4. Zoe Nivolianitou
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  5. Eleni Charou
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  6. Stavros Perantonis
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Corresponding author

Correspondence to Sotirios Gyftakis .

Editor information

Editors and Affiliations

  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    Charalampos Konstantopoulos

  2. Department of Informatics, Technological Educational Institute of Athens, Athens, Greece

    Grammati Pantziou

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Gyftakis, S., Koromila, I., Giannakopoulos, T., Nivolianitou, Z., Charou, E., Perantonis, S. (2018). Decision Support Tool Employing Bayesian Risk Framework for Environmentally Safe Shipping. In: Konstantopoulos, C., Pantziou, G. (eds) Modeling, Computing and Data Handling Methodologies for Maritime Transportation. Intelligent Systems Reference Library, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-61801-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-61801-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61800-5

  • Online ISBN: 978-3-319-61801-2

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