IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/914689.html
   My bibliography  Save this article

Multiobjective Optimization Based Vessel Collision Avoidance Strategy Optimization

Author

Listed:
  • Qingyang Xu
  • Chuang Zhang
  • Ning Wang

Abstract

The vessel collision accidents cause a great loss of lives and property. In order to reduce the human fault and greatly improve the safety of marine traffic, collision avoidance strategy optimization is proposed to achieve this. In the paper, a multiobjective optimization algorithm NSGA-II is adopted to search for the optimal collision avoidance strategy considering the safety as well as economy elements of collision avoidance. Ship domain and Arena are used to evaluate the collision risk in the simulation. Based on the optimization, an optimal rudder angle is recommended to navigator for collision avoidance. In the simulation example, a crossing encounter situation is simulated, and the NSGA-II searches for the optimal collision avoidance operation under the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS). The simulation studies exhibit the validity of the method.

Suggested Citation

  • Qingyang Xu & Chuang Zhang & Ning Wang, 2014. "Multiobjective Optimization Based Vessel Collision Avoidance Strategy Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-9, February.
  • Handle: RePEc:hin:jnlmpe:914689
    DOI: 10.1155/2014/914689
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/914689.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/914689.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/914689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:914689. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.