Fuzzy collision avoidance system for ships

The paper discusses the problem of maritime traffic control. A model of the relative motion of two vessels is considered. An algorithm for the generation of alarms of various types in accordance with the verbal ship–ship danger level is considered. Navigation situations are separated into levels bas...

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Bibliographic Details
Published in:Journal of computer & systems sciences international 2016-03, Vol.55 (2), p.249-259
Main Authors: Grinyak, V. M., Devyatisil’nyi, A. S.
Format: Article
Language:English
Subjects:
Algorithms
Collisions
Control
Decision making
Engineering
Field tests
Fuzzy
Maritime industry
Mathematical analysis
Mathematical models
Mechatronics
Navigation
Navigation Systems
Ports
Robotics
Ships
Studies
Traffic control
Velocity
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Summary:The paper discusses the problem of maritime traffic control. A model of the relative motion of two vessels is considered. An algorithm for the generation of alarms of various types in accordance with the verbal ship–ship danger level is considered. Navigation situations are separated into levels based on the ship’s maneuvering intensity and time to collision. A fuzzy decision-making system about the motion’s danger level that combines Mamdani and Sugeno fuzzy inference systems is proposed. The results of the numerical experiment that demonstrates the system’s operation under standard conditions and the results of the system’s field tests based on real ship traffic data in the waters adjacent to the port of Vladivostok are given.
ISSN:1064-2307
1555-6530
DOI:10.1134/S106423071601007X