• DocumentCode
    3113338
  • Title

    Risk analysis based on the ship collision modeling and forecasting system

  • Author

    Jie, Wang ; Yao-Tian, Fan

  • Author_Institution
    Zhejiang Int. Maritime Coll., Zhoushan
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1517
  • Lastpage
    1521
  • Abstract
    Traditional risk analyses approach for ship collision generally calculates the possibility of ship collision with historical data, mathematical models and consultation of the experts, which only evaluates the present risk level. However, it is obvious that the outcome of the analyses is definitely not appropriate to describe the future of the studied area. This article introduces a new risk analysis method based on geographical distribution, with a combination of forecasting and simulating system, which has been verified by a concrete example. Its outcome highlights the future high-risk regions in form of geographical distribution. Compared to traditional risk analyses, this method may predict the future risk state of the studied area more scientifically and accurately in order to give a strong support in adopting and implementing the ship collision risk control measures.
  • Keywords
    forecasting theory; geography; marine safety; risk analysis; ships; transportation; forecasting system; geographical distribution; mathematical model; risk analysis; ship collision modeling; simulating system; Analytical models; Concrete; Marine vehicles; Mathematical model; Navigation; Predictive models; Risk analysis; Road accidents; Safety; Traffic control; forecast; geographical distribution; marine traffic; risk analysis; ship collision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811501
  • Filename
    4811501