CNN and BILSTM-based ship trajectory prediction method

Abstract

The invention discloses a ship trajectory prediction method based on a CNN and a BILSTM. The method comprises the following steps: 1, preprocessing information data; the information data comprises longitude, latitude, course and navigational speed acquired by a ship AIS (Automatic Identification System); 2, dividing the information data preprocessed in the step 1 into a training set and a test set; 3, importing the training set in the step 2 into a convolutional neural network (CNN) for feature extraction; 4, combining the features extracted in the step 3 with data of the training set to form input data of trajectory prediction; 5, importing the input data in the step 4 into a BILSTM neural network model for learning, and obtaining a ship motion rule model implied in the trajectory data; and 6, predicting the trajectory of the ship by using the model in the step 5. The method is used for solving the problem that the ship trajectory prediction accuracy is low in a complex water traffic environment.

Description

technical field [0001] The invention belongs to the technical field of time series prediction; in particular, it relates to a ship track prediction method based on CNN and BILSTM. Background technique [0002] With the continuous development of shipping, it is more urgent to strengthen ship safety management and key target monitoring. In many coastal and port waters with dense traffic and complicated conditions, the accuracy and effectiveness of early warning of marine traffic accidents is also particularly important. Knowing the direction information of ships in advance can effectively reduce the occurrence of marine traffic accidents such as ship running aground and collision. Ship trajectory analysis can obtain useful information on sea lanes and ship behavior patterns. Due to the different characteristics of ship navigation and vehicle driving, there is no obvious road network constraint, the track is more random, and the prediction is more difficult. The traditional ...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a ship trajectory prediction method based on CNN and BILSTM to solve the problem of low accuracy of ship trajectory prediction in complex water traffic environment

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