A Review on Motion Prediction for Intelligent Ship Navigation

Abstract

In recent years, as intelligent ship-navigation technology has advanced, the challenge of accurately modeling and predicting the dynamic environment and motion status of ships has emerged as a prominent area of research. In response to the diverse time scales required for the prediction of ship motion, various methods for modeling ship navigation environments, ship motion, and ship traffic flow have been explored and analyzed. Additionally, these motion-prediction methods are applied for motion control, collision-avoidance planning, and route optimization. Key issues are summarized regarding ship-motion prediction, including online modeling of motion models, real ship validation, and consistency in modeling, optimization, and control. Future technology trends are predicted in mechanism-data fusion modeling, large-scale model, multi-objective motion prediction, etc.

Devising an approach for the automated restoration of shipmaster’s navigational qualification parameters under risk conditions

“…The development of this research, taking into account existing mathematical complexity and limitations in the experimental part, involves the refinement of the proposed model and method, the development of individually oriented algorithms for the identification of the actions of operator-shipmasters. In turn, this direction contributed to a holistic view of maritime safety issues and the development of practical recommendations [40], which take into account the actual working conditions of shipmasters under difficult sailing conditions [41]. A model of identification of intuitive actions of operators-shipmasters in critical situations has been built, which by structure consists of 15 categories, each of which is represented in a formal-logical form.…”