• DocumentCode
    3343775
  • Title

    Study on costal intelligent navigation system

  • Author

    Xia, Haibo

  • Author_Institution
    Shanghai Maritime Univ., Shanghai, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    2742
  • Lastpage
    2745
  • Abstract
    The safety and economy of ship transportation is always an important issue in the shipping worlds. Due to complex natural conditions, relatively narrow navigable range and high traffic density, coastal navigation is usually not only an accident-prone area but also the low shipping efficiency. Therefore, an intelligent navigation system for coastal sailing based on numerical forecasting of environmental factors and simulation of ship´s motion is put forward. Take the effects of tidal current as an example, the construction and realization approach of the system is discussed. In view of tow key problems of system implementation, the tidal current distribution in coastal waters is successfully predicted by using POM, and the simulation of ship´s motion in the real-time tidal current fields was conducted based on MMG. The results show that this method of navigation system is feasible.
  • Keywords
    environmental factors; forecasting theory; knowledge based systems; marine safety; navigation; ships; MMG; POM; accident-prone area; coastal navigation; coastal sailing; coastal waters; costal intelligent navigation system; environmental factors; low shipping efficiency; navigable range; numerical forecasting; real-time tidal current fields; ship motion simulation; ship transportation; tidal current distribution; tow key problems; traffic density; Current distribution; Environmental factors; Intelligent systems; Marine safety; Marine transportation; Marine vehicles; Navigation; Predictive models; Sea measurements; Traffic control; coastal navigation; navigation simulation; numerical forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535301
  • Filename
    5535301