Regional ship collision risk prediction: An approach based on encoder-decoder LSTM neural network model

Ship collision risk prediction is vital for maritime traffic surveillance, which determines if there is a sustainable and efficient development of the shipping industry. In order to solve the problem of ship collision risk prediction, this study proposes a regional ship collision risk prediction mod...

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Bibliographic Details

Published in:	Ocean engineering Vol. 296; p. 117019
Main Authors:	Lin, Chenyan, Zhen, Rong, Tong, Yanting, Yang, Shenhua, Chen, Shengkai
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.03.2024
Subjects:	Encoder-decoder LSTM neural network Risk grid processing Ship collision risk Spatial–temporal risk prediction Spatial–temporal risk prediction Encoder-decoder LSTM neural network Ship collision risk Risk grid processing
ISSN:	0029-8018, 1873-5258
Online Access:	Get full text
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