The Automatic Rough Sea Avoidance System (ARSAS) is described. The first of the two subsystems that comprise it is named "Judge System on Dangerous Degree" and the second is named "Operating System to Avoid Danger." Both utilize artificial intelligence. The former assesses the level of danger to a ship by integrating the results of many researches on seakeeping performance, and the latter relates the captain's knowledge regarding ship operating performance to a summarization of data on weather conditions. More exact information on environmental conditions becomes necessary if the accuracy of weather routing is to be improved, but the very significant cost attached to achieving this may be prohibitive. Through analytical methods and simulation, it is made clear how the accuracy of typhoon information affects the accuracy of estimating such factors as ship route, ship speed and fuel oil consumption.

  • Availability:
  • Supplemental Notes:
    • Journal article
  • Authors:
    • Naito, S
    • Nagano, D
    • Arii, T
  • Publication Date: 1990-3


  • Japanese

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00660761
  • Record Type: Publication
  • Source Agency: Maritime Technical Information Facility
  • Files: TRIS
  • Created Date: Jul 21 1994 12:00AM