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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Main Authors: Shejun Deng, Yuyi Zhong, Zhijin Wu, Min Wang, Lvkai Zhu, Hongru Yu
Format: Article
Language:English
Published: SAGE Publishing 2020-02-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814020906079
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spelling 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 AT shejundeng researchonwaterbornecollisionavoidanceandearlywarningalgorithmbasedonlocationdata
AT yuyizhong researchonwaterbornecollisionavoidanceandearlywarningalgorithmbasedonlocationdata
AT zhijinwu researchonwaterbornecollisionavoidanceandearlywarningalgorithmbasedonlocationdata
AT minwang researchonwaterbornecollisionavoidanceandearlywarningalgorithmbasedonlocationdata
AT lvkaizhu researchonwaterbornecollisionavoidanceandearlywarningalgorithmbasedonlocationdata
AT hongruyu researchonwaterbornecollisionavoidanceandearlywarningalgorithmbasedonlocationdata
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