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Simulation of an AIS System for the Port of Hamburg

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Computational Logistics (ICCL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13004))

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Abstract

This paper shows that the prediction of vessel arrival times with AIS (Automatic Identification System) is increasing the number of vessels a port can handle without additional superstructure. The Port of Hamburg is used as a case study to show the difference between the as-is situation and one with the integrated information system. The simulation shows improvements with two different risk levels to prove the concept. The simulation uses simplified versions of an algorithm that assigns vessels to free berths without disrupting the normal terminal usage. It was possible to clear up to 44% more ships each day just with an additional system that utilises already existing data for achieving more efficiency within the port.

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Notes

  1. 1.

    For references stating the state-of-the-art over time see, e.g., [1, 15, 17].

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Author information

Authors and Affiliations

  1. Institute of Information Systems, University of Hamburg, 20146, Hamburg, Germany

    Pierre Bouchard & Stefan Voß

  2. Universidad del Norte, Barranquilla, Colombia

    Adriana Moros-Daza

Authors
  1. Pierre Bouchard
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  2. Adriana Moros-Daza
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  3. Stefan Voß
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Corresponding authors

Correspondence to Pierre Bouchard , Adriana Moros-Daza or Stefan Voß .

Editor information

Editors and Affiliations

  1. IEBIS, University of Twente, Enschede, Overijssel, The Netherlands

    Martijn Mes

  2. IEBIS, University of Twente, Enschede, Overijssel, The Netherlands

    Eduardo Lalla-Ruiz

  3. IWI-Institute of Information Systems, University of Hamburg, Hamburg, Germany

    Stefan Voß

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Bouchard, P., Moros-Daza, A., Voß, S. (2021). Simulation of an AIS System for the Port of Hamburg. In: Mes, M., Lalla-Ruiz, E., Voß, S. (eds) Computational Logistics. ICCL 2021. Lecture Notes in Computer Science(), vol 13004. Springer, Cham. https://doi.org/10.1007/978-3-030-87672-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-87672-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87671-5

  • Online ISBN: 978-3-030-87672-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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