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作者机构:School of Computer Science and TechnologyWuhan University of Science and TechnologyWuhan430065China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial SystemWuhan University of Science and TechnologyWuhan430065China School of Information Systems and TechnologyDrexel UniversityPhiladelphia19104The United States
出 版 物:《Journal on Artificial Intelligence》 (人工智能杂志(英文))
年 卷 期:2019年第1卷第1期
页 面:29-36页
学科分类:08[工学] 0824[工学-船舶与海洋工程] 082401[工学-船舶与海洋结构物设计制造]
主 题:Maritime safety back propagation neural network automatic identification system track prediction
摘 要:In recent years,with the prosperity of world trade,the water transport industry has developed rapidly,the number of ships has surged,and ship safety accidents in busy waters and complex waterways have become more *** the movement of the ship and analyzing the trajectory of the ship are of great significance for improving the safety level of the *** at the multi-dimensional characteristics of ship navigation behavior and the accuracy and real-time requirements of ship traffic service system for ship trajectory prediction,a ship navigation trajectory prediction method combining ship automatic identification system information and Back Propagation(BP)neural network are *** to the basic principle of BP neural network structure,the BP neural network is trained by taking the characteristic values of ship navigation behavior at three consecutive moments as input and the characteristic values of ship navigation behavior at the fourth moment as output to predict the future ship navigation *** on the Automatic Identification System(AIS)information of the waters near the Nanpu Bridge in Pudong New Area,Shanghai,the results show that the method is used to predict the ship s navigational behavior eigenvalues accurately and in real *** with the traditional kinematics prediction trajectory method,the model can effectively predict ship *** trajectory improves the accuracy of the ship s motion situation prediction,and has the advantages of high computational efficiency and strong versatility,and the error is within an acceptable range.