Ship Trajectory Prediction Based on Bi-LSTM Using Spectral-Clustered AIS Data

Ship Trajectory Prediction Based on Bi-LSTM Using Spectral-Clustered AIS Data

According to the statistics of maritime accidents, most collision accidents have been caused by human factors. In an encounter situation, the prediction of ship’s trajectory is a good way to notice the intention of the other ship. This paper proposes a methodology for predicting the ship’s trajector...

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Bibliographic Details
Main Authors: Jinwan Park, Jungsik Jeong, Youngsoo Park
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Journal of Marine Science and Engineering
Subjects:
ship trajectory prediction
intelligent collision avoidance
maritime accidents
spectral clustering
Bi-LSTM
GRU
Online Access:https://www.mdpi.com/2077-1312/9/9/1037

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