Research on Ship Route Planning Method Based on Neural Network Wave Data Forecast. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Jin, Xin; Xiong, Junting; Gu, Dongliang; Yi, Chengtao; Jiang, Yongxin
• Is Part Of: IOP conference series. Volume 638:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/638/1/012033
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Route design is an indispensable skill for ships and navigators. However, in actual work, most of the current route design still lies in manually reading port information and other graphic materials, and then revising the sailing plan in conjunction with the weather forecast. On the one hand, this method is not accurate enough, and the graphics and text data are not sufficiently real-time. On the other hand, this method has the disadvantages of being cumbersome and labor-intensive. In response to the above problems, this article combines the actual data set of ICOAD, applies the neural network model, and uses the A* algorithm to plan the route, which provides a reference for the application of artificial intelligence to ship route planning.