Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

  • tanja brcko university of ljubljana, faculty of maritime studies and transport
  • jelenko švetak university of ljubljana, faculty of maritime studies and transport
Keywords: maritime accidents, collision avoidance, radar plotting, fuzzy logic, decision support system

Abstract

Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.
This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.

Author Biographiesaaa replica rolex repwatches replica rolex watches for men replica iwc watch

tanja brcko, university of ljubljana, faculty of maritime studies and transport

maritime department,chair of navigation,

rank: assistant

 

jelenko švetak, university of ljubljana, faculty of maritime studies and transport

maritime department,chair of navigation,

rank: assistant professor

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Published
2013-12-16
How to Cite
1.
brcko tanja, švetak jelenko. Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System. Promet [Internet]. 2013Dec.16 [cited 2024Jun.14];25(6):555-64. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/1183
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Articles