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Optimum Ship Routing and It’s Implementation on the Web

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Advanced Internet Services and Applications (AISA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2402))

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Abstract

Optimum Ship Routing can be defined as “The selection of an optimum track for a transoceanic crossing by the application of long-range predictions of wind, waves and currents to the knowledge of how the routed vessel reacts to these variables”. Generally, Optimum Ship Routing was held prior to sail with predicted weather data, but nowadays, with rapid development of Internet/Intranet technology, it becomes possible to carry out real time weather data. This paper treats the methodology how to solve optimum ship routing problem by network modeling and shows a basic concept of the Web-Based Optimum Ship Routing System.

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References

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Author information

Authors and Affiliations

  1. MobileNet Co., LTD, Pusan, Korea

    Heeyong Lee

  2. Division of ship operation systems engineering, Korea maritime University, Pusan, Korea

    Gilyoung Kong

  3. Division of maritime tranportation science, Korea maritime University, Pusan, Korea

    Sihwa Kim

  4. Institute of Maritime Industry, Korea maritime University, Pusan, Korea

    Cholseong Kim

  5. ITEP, Information and Telecommunication Team, Seoul, Korea

    Jaechul Lee

Authors
  1. Heeyong Lee
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  2. Gilyoung Kong
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  3. Sihwa Kim
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  4. Cholseong Kim
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  5. Jaechul Lee
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Editor information

Editors and Affiliations

  1. CEO, C-EiSA, Co., Ltd., 135-090, JEIL Bldg. 4th, Samsung-Dong, 168-26, Kangnam-Gu, Seoul, Korea

    Whie Chang

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© 2002 Springer-Verlag Berlin Heidelberg

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Lee, H., Kong, G., Kim, S., Kim, C., Lee, J. (2002). Optimum Ship Routing and It’s Implementation on the Web. In: Chang, W. (eds) Advanced Internet Services and Applications. AISA 2002. Lecture Notes in Computer Science, vol 2402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45639-2_13

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  • DOI: https://doi.org/10.1007/3-540-45639-2_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43968-4

  • Online ISBN: 978-3-540-45639-1

  • eBook Packages: Springer Book Archive

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