Research on Drift Path Prediction Technology of Ships

DOI

10.2991/cmsa-18.2018.53How to use a DOI?

Keywords

drift path; particle reload simulation; prediction degree; Monte Carlo

Abstract

In order to improve the prediction fitting degree of the existing method to predict the drift path of the ship, the particle reloading simulation method was proposed to predict the drift path from the aspect of segment prediction. Particle reloading simulation method divides the drift time into multiple segments, and then the information is updated after each segment. The updating will continue the whole drift process, and then the drift path will be obtained. Experimental results indicate that our method is extremely promising for predicting drift paths of ships. This is due to the avoidance of the problem of the Monte Carlo method, which prediction accuracy of the long-distance decreases with time.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongdong An
AU  - Tianchi Zhang
AU  - Jing Zhang
AU  - Zhimin Liu
AU  - Jiasen Chen
PY  - 2018/04
DA  - 2018/04
TI  - Research on Drift Path Prediction Technology of Ships
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 231
EP  - 235
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.53
DO  - 10.2991/cmsa-18.2018.53
ID  - An2018/04
ER  -