Ship Trajectory Prediction based on LSTM Neural Network
- Resource Type
- Conference
- Authors
- Zhang, Zhiyuan; Ni, Guoxin; Xu, Yanguo
- Source
- 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) Technology and Mechatronics Engineering Conference (ITOEC), 2020 IEEE 5th Information. :1356-1364 Jun, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Robotics and Control Systems
Transportation
Marine vehicles
Trajectory
Neural networks
Prediction algorithms
Data models
Predictive models
LSTM
ship trajectory
prediction
- Language
This paper is based on a large number of AIS data. Firstly, data preprocessing is carried out to ensure the integrity and accuracy of the data. Then, based on the route data, the prediction algorithm such as LSTM(Long Short-Term Memory) recurrent neural network is used to model to realize the prediction of the ship's navigation trajectory.