Research on waterborne collision avoidance and early warning algorithm based on location data
Zhenjiang Dagang Ferry, located in the middle and upper reaches of the Yangtze River Jiangsu section, is full of different types of ships. The steam ferry crosses the waterway and frequently meets with the passing ships, inducing water collision accidents. This article, taking cross-river ferrys and...
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2020-02-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814020906079 |
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doaj-e095c553ce1c47c48aef4e4013c3e7052020-11-25T03:42:41ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402020-02-011210.1177/1687814020906079Research on waterborne collision avoidance and early warning algorithm based on location dataShejun DengYuyi ZhongZhijin WuMin WangLvkai ZhuHongru YuZhenjiang Dagang Ferry, located in the middle and upper reaches of the Yangtze River Jiangsu section, is full of different types of ships. The steam ferry crosses the waterway and frequently meets with the passing ships, inducing water collision accidents. This article, taking cross-river ferrys and normal navigation ships as research subjects, proposes an algorithm for water navigation collision avoidance based on position data. First, by analyzing the dynamic coordinate of the ferry and navigation vessel, their navigation trajectories are predicted respectively. Second, the time when they arrive at the possible collision point is calculated, the type of traffic conflict is determined, the drive’s collision avoidance response time is considered, and a warning criterion for early warning is established. Finally, the proposed warning algorithm is analyzed to check to what extent the warning can help the ship avoid the collision. Sixteen sets of data showing the navigation of the ships are selected to compare the effect of the warning algorithm with the radar warning method. The research results show that the application of the algorithm can avoid unnecessary alarm, false alarm, and alarm failure the radar warnings have, improving the accuracy and helping avoid the collision accidents.https://doi.org/10.1177/1687814020906079 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shejun Deng Yuyi Zhong Zhijin Wu Min Wang Lvkai Zhu Hongru Yu |
spellingShingle |
Shejun Deng Yuyi Zhong Zhijin Wu Min Wang Lvkai Zhu Hongru Yu Research on waterborne collision avoidance and early warning algorithm based on location data Advances in Mechanical Engineering |
author_facet |
Shejun Deng Yuyi Zhong Zhijin Wu Min Wang Lvkai Zhu Hongru Yu |
author_sort |
Shejun Deng |
title |
Research on waterborne collision avoidance and early warning algorithm based on location data |
title_short |
Research on waterborne collision avoidance and early warning algorithm based on location data |
title_full |
Research on waterborne collision avoidance and early warning algorithm based on location data |
title_fullStr |
Research on waterborne collision avoidance and early warning algorithm based on location data |
title_full_unstemmed |
Research on waterborne collision avoidance and early warning algorithm based on location data |
title_sort |
research on waterborne collision avoidance and early warning algorithm based on location data |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2020-02-01 |
description |
Zhenjiang Dagang Ferry, located in the middle and upper reaches of the Yangtze River Jiangsu section, is full of different types of ships. The steam ferry crosses the waterway and frequently meets with the passing ships, inducing water collision accidents. This article, taking cross-river ferrys and normal navigation ships as research subjects, proposes an algorithm for water navigation collision avoidance based on position data. First, by analyzing the dynamic coordinate of the ferry and navigation vessel, their navigation trajectories are predicted respectively. Second, the time when they arrive at the possible collision point is calculated, the type of traffic conflict is determined, the drive’s collision avoidance response time is considered, and a warning criterion for early warning is established. Finally, the proposed warning algorithm is analyzed to check to what extent the warning can help the ship avoid the collision. Sixteen sets of data showing the navigation of the ships are selected to compare the effect of the warning algorithm with the radar warning method. The research results show that the application of the algorithm can avoid unnecessary alarm, false alarm, and alarm failure the radar warnings have, improving the accuracy and helping avoid the collision accidents. |
url |
https://doi.org/10.1177/1687814020906079 |
work_keys_str_mv |
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