• DocumentCode
    3103769
  • Title

    A Negotiation Framework for Automatic Collision Avoidance between Vessels

  • Author

    Qinyou, Hu ; Qiaoer, Hu ; Chaojian, Shi

  • Author_Institution
    Shanghai Maritime Univ., Shanghai
  • fYear
    2006
  • fDate
    18-22 Dec. 2006
  • Firstpage
    595
  • Lastpage
    601
  • Abstract
    Automatic vessel collision-avoidance systems have been studied in the fields of artificial intelligence and navigation for decades. And to facilitate collision- avoidance decision-making in any two-vessel- encounter situation, several expert and fuzzy expert systems have been developed. However, none of them can negotiate with each other as seafarers usually do when they intend to make a more economic overall collision-avoidance plan in the COLREG-HIGH-COST situations where collision avoidance following the International Regulations for Preventing Collisions at Sea(COLREG) costs too much. In this paper, a negotiation framework is put forward to enable vessels to negotiate to optimize collision avoidance in the COLREG-HIGH-COST situations at open sea. With the framework proposed in this paper, two vessels involved in a COLREG-HIGH-COST situation can negotiate with each other to get a more economic overall collision-avoidance plan than that suggested by the legacy collision- avoidance systems alone.
  • Keywords
    artificial intelligence; collision avoidance; decision making; expert systems; fuzzy set theory; navigation; ships; artificial intelligence; automatic vessel collision-avoidance systems; decision making; fuzzy expert systems; navigation; negotiation framework; Accidents; Artificial intelligence; Chaos; Collision avoidance; Costs; Decision making; Human factors; Hybrid intelligent systems; Navigation; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, 2006. IAT '06. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2748-5
  • Type

    conf

  • DOI
    10.1109/IAT.2006.19
  • Filename
    4052982