Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index

A novel real-time collision avoidance method for autonomous ships based on modified velocity obstacle (VO) algorithm and grey cloud model is proposed. A typical VO algorithm is used to judge whether there is a collision risk for ships in the potential collision area (PCA). Then, in order to quantify...

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Main Authors: Ke Zhang, Liwen Huang, Yixiong He, Liang Zhang, Weiguo Huang, Cheng Xie, Guozhu Hao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/1534815
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author Ke Zhang
Liwen Huang
Yixiong He
Liang Zhang
Weiguo Huang
Cheng Xie
Guozhu Hao
author_facet Ke Zhang
Liwen Huang
Yixiong He
Liang Zhang
Weiguo Huang
Cheng Xie
Guozhu Hao
author_sort Ke Zhang
collection DOAJ
description A novel real-time collision avoidance method for autonomous ships based on modified velocity obstacle (VO) algorithm and grey cloud model is proposed. A typical VO algorithm is used to judge whether there is a collision risk for ships in the potential collision area (PCA). Then, in order to quantify the collision risk of ships in different encounter situations within the PCA and trigger a prompt warning of danger of collision, this study sets up a novel collision risk assessment method based on asymmetric grey cloud model (AGC). It can effectively consider the randomness, ambiguity, and incompleteness of the information in the ship collision risk evaluation process. Moreover, reachable collision-free velocity sets under different encounter situations and optimal steering angle model are constructed. A real-time collision avoidance method based on modified VO algorithm and manoeuvring motion characteristics of vessels is put forward. In this model, various constraints are considered including the International Regulations for Preventing Collisions at Sea (COLREGs), ship manoeuvrability, and ordinary practice of seaman. Finally, several case studies are carried out to verify the performance and reliability of the collision avoidance model. The results show that the proposed method can not only effectively identify and quantify the collision risk in real-time but also offer proper collision-free solutions for autonomous ships.
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publishDate 2022-01-01
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series Journal of Advanced Transportation
spelling doaj-art-e7c3daaf34ea45a6b7219fb51476aba62025-08-20T03:21:02ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1534815Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk IndexKe Zhang0Liwen Huang1Yixiong He2Liang Zhang3Weiguo Huang4Cheng Xie5Guozhu Hao6School of NavigationSchool of NavigationSchool of NavigationSchool of NavigationSchool of NavigationSchool of NavigationSchool of NavigationA novel real-time collision avoidance method for autonomous ships based on modified velocity obstacle (VO) algorithm and grey cloud model is proposed. A typical VO algorithm is used to judge whether there is a collision risk for ships in the potential collision area (PCA). Then, in order to quantify the collision risk of ships in different encounter situations within the PCA and trigger a prompt warning of danger of collision, this study sets up a novel collision risk assessment method based on asymmetric grey cloud model (AGC). It can effectively consider the randomness, ambiguity, and incompleteness of the information in the ship collision risk evaluation process. Moreover, reachable collision-free velocity sets under different encounter situations and optimal steering angle model are constructed. A real-time collision avoidance method based on modified VO algorithm and manoeuvring motion characteristics of vessels is put forward. In this model, various constraints are considered including the International Regulations for Preventing Collisions at Sea (COLREGs), ship manoeuvrability, and ordinary practice of seaman. Finally, several case studies are carried out to verify the performance and reliability of the collision avoidance model. The results show that the proposed method can not only effectively identify and quantify the collision risk in real-time but also offer proper collision-free solutions for autonomous ships.http://dx.doi.org/10.1155/2022/1534815
spellingShingle Ke Zhang
Liwen Huang
Yixiong He
Liang Zhang
Weiguo Huang
Cheng Xie
Guozhu Hao
Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
Journal of Advanced Transportation
title Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
title_full Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
title_fullStr Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
title_full_unstemmed Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
title_short Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
title_sort collision avoidance method for autonomous ships based on modified velocity obstacle and collision risk index
url http://dx.doi.org/10.1155/2022/1534815
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AT yixionghe collisionavoidancemethodforautonomousshipsbasedonmodifiedvelocityobstacleandcollisionriskindex
AT liangzhang collisionavoidancemethodforautonomousshipsbasedonmodifiedvelocityobstacleandcollisionriskindex
AT weiguohuang collisionavoidancemethodforautonomousshipsbasedonmodifiedvelocityobstacleandcollisionriskindex
AT chengxie collisionavoidancemethodforautonomousshipsbasedonmodifiedvelocityobstacleandcollisionriskindex
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