Research on Drift Path Prediction Technology of Ships
Authors
Dongdong An, Tianchi Zhang, Jing Zhang, Zhimin Liu, Jiasen Chen
Corresponding Author
Dongdong An
Available Online April 2018.
- 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/).
Cite this article
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 -