Control the moving objects and navigation

Marine safety estimation expert system based on neural fuzzy logic network

V. M. Grinyak^ab, A. S. Devyatisilny<sup>c

a</sup> Vladivostok State University of Economics and Service
^b Far Eastern Federal University, Vladivostok
^c Institute for Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok

Abstract: The paper considers the problem of marine vessel traffic control. Information system model for marine safety estimation (ship collision avoidance) is proposed. System defines some alarm levels: “Green”, “Yellow” and “Red”. An alarm criterion is based on maneuver detector. If the ship is maneuvering its alarm level decreases. Mathematical model of position and velocity estimation, and two neural fuzzy network (ANFIS) configuration for alarm generating is proposed. The first neural fuzzy network is maneuver detector. The next (second) neural fuzzy network is alarm generator. Some results of experiments, such as numerical experiments for typical ships traces and field experiments for port water area vessel traffic are given.

Keywords: vessel traffic control, collision avoidance, trace, ship maneuver, neural fuzzy logic system.

UDC: 519.68:15:681.5