文献类型：期刊文献

英文题名：Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data

作者：Wang, Guoqing[1,2];Fan, En[3];Zheng, Guohua[1];Li, Kexiang[1];Huang, Haiguang[4]

机构：[1]Zhejiang Suosi Technol Co Ltd, Wenzhou 325000, Zhejiang, Peoples R China;[2]Asia Pacific Univ Technol & Innovat, Technoloy Pk Malaysia, Kuala Lumpur 57000, Malaysia;[3]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Zhejiang, Peoples R China;[4]Wenzhou Univ, Coll Comp Sci & Artificial Intelligence, Wenzhou 325000, Zhejiang, Peoples R China

年份：2022

卷号：2022

外文期刊名：MOBILE INFORMATION SYSTEMS

收录：SCI-EXPANDED(收录号：WOS:000864455400005)、、WOS

基金：This work was supported by Zhejiang Province "Ten Thousand Talents Program" Technology Entrepreneurship Leading Talent (2019R53015) and Shaoxing University Research Startup Project (20205048).

语种：英文

外文关键词：Budget control - Fisheries - Fishing vessels - Navigation - Neural networks

外文摘要：In order to better predict the sailing information data of fishing boats, make accurate prediction and spacing budget for the sailing status of ships, achieve more accurate coordination and early warning in advance, and ensure the safety of fishing boats' laneway, the essay combined the kinematics equation and artificial neural network model to adapt to the traffic situation of fishing boats in the far sea. A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method.