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Preventing Ship Collision with Stationary Sea Crafts Through a Fuzzy Logic Method

  • Nelly Sedova
  • Viktor Sedov
  • Ruslan BazhenovEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1126)

Abstract

The paper suggests an approach based on fuzzy sets applied to the problem concerning the rules of the road between vessels and fixed sea crafts. The authors develop and test a fuzzy model, which is informed on foreign objects that need to avoid, the distance between them and their position relating to one’s own vessel from the shipboard radar. The model gives recommendations to a skipper for the maneuver of the safe passing in case when it is necessary. The authors define three input linguistic variables for the production model. They are the positions on the left, in front, and on the right. What is more, there is one output linguistic variable—bearing. 25 terms of four basic term sets are defined. They also set membership function parameters for each term. Fuzzy inference is based on Mamdani model and contains a fuzzy production rule base consisting of 216 rules. Testing the model shows good performance when determining the deviation from set course if there is a safe passing such obstacles as fixed sea crafts is required. The survey describes the efficiency of the model by example of three characteristic test cases.

Keywords

COLREG Vessel traffic Collision avoidance actions Fuzzy logic system 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Maritime State University named after G.I. NevelskoyVladivostokRussian Federation
  2. 2.Sholom-Aleichem Priamursky State UniversityBirobidzhanRussian Federation

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