A Research on Techniques, Models and Methods Proposed for Ship Collision Avoidance Path Planning Problem

R. Fışkın, H. Kişi, E. Nasibov
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引用次数: 10

Abstract

The development of soft computing techniques in recent years has encouraged researchers to study on the path planning problem in ship collision avoidance. These techniques have widely been implemented in marine industry and technology-oriented novel solutions have been introduced. Various models, methods and techniques have been proposed to solve the mentioned path planning problem with the aim of preventing reoccurrence of the problem and thus strengthening marine safety as well as providing fuel consumption efficiency. The purpose of this study is to scrutinize the models, methods and technologies proposed to settle the path planning issue in ship collision avoidance. The study also aims to provide certain bibliometric information which develops a literature map of the related field. For this purpose, a thorough literature review has been carried out. The results of the study have pointedly showed that the artificial intelligence methods, fuzzy logic and heuristic algorithms have greatly been used by the researchers who are interested in the related field.
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船舶避碰路径规划问题的技术、模型与方法研究
近年来,软计算技术的发展促进了船舶避碰路径规划问题的研究。这些技术已广泛应用于海洋工业,并引入了以技术为导向的新解决方案。针对上述路径规划问题,人们提出了各种模型、方法和技术来解决,目的是防止问题再次发生,从而加强海上安全,提高燃油消耗效率。本研究旨在探讨船舶避碰路径规划问题的模型、方法和技术。该研究还旨在提供某些文献计量学信息,以开发相关领域的文献地图。为此,进行了全面的文献综述。研究结果尖锐地表明,人工智能方法、模糊逻辑和启发式算法已被相关领域感兴趣的研究人员广泛使用。
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