An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations
Maritime Autonomous Surface Ships (MASSs) are attracting increasing attention in recent years as it brings new opportunities for water transportation. Previous studies aim to propose fully autonomous system on collision avoidance decisions and operations, either focus on supporting conflict detectio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/7537825 |
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| _version_ | 1832550938566459392 |
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| author | Xiaolie Wu Kezhong Liu Jinfen Zhang Zhitao Yuan Jiongjiong Liu Qing Yu |
| author_facet | Xiaolie Wu Kezhong Liu Jinfen Zhang Zhitao Yuan Jiongjiong Liu Qing Yu |
| author_sort | Xiaolie Wu |
| collection | DOAJ |
| description | Maritime Autonomous Surface Ships (MASSs) are attracting increasing attention in recent years as it brings new opportunities for water transportation. Previous studies aim to propose fully autonomous system on collision avoidance decisions and operations, either focus on supporting conflict detection or providing with collision avoidance decisions. However, the human-machine cooperation is essential in practice at the first stage of automation. An optimized collision avoidance decision-making system is proposed in this paper, which involves risk appetite (RA) as the orientation. The RA oriented collision avoidance decision-making system (RA-CADMS) is developed based on human-machine interaction during ship collision avoidance, while being consistent with the International Regulations for Preventing Collisions at Sea (COLREGS) and Ordinary Practice of Seamen (OPS). It facilitates automatic collision avoidance and safeguards the MASS remote control. Moreover, the proposed RA-CADMS are used in several encounter situations to demonstrate the preference. The results show that the RA-CADMS is capable of providing accurate collision avoidance decisions, while ensuring efficiency of MASS maneuvering under different RA. |
| format | Article |
| id | doaj-art-d576485038754f93919b00b1fdf8c1ee |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-d576485038754f93919b00b1fdf8c1ee2025-02-03T06:05:34ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/75378257537825An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation SituationsXiaolie Wu0Kezhong Liu1Jinfen Zhang2Zhitao Yuan3Jiongjiong Liu4Qing Yu5School of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaNational Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaNational Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaMaritime Autonomous Surface Ships (MASSs) are attracting increasing attention in recent years as it brings new opportunities for water transportation. Previous studies aim to propose fully autonomous system on collision avoidance decisions and operations, either focus on supporting conflict detection or providing with collision avoidance decisions. However, the human-machine cooperation is essential in practice at the first stage of automation. An optimized collision avoidance decision-making system is proposed in this paper, which involves risk appetite (RA) as the orientation. The RA oriented collision avoidance decision-making system (RA-CADMS) is developed based on human-machine interaction during ship collision avoidance, while being consistent with the International Regulations for Preventing Collisions at Sea (COLREGS) and Ordinary Practice of Seamen (OPS). It facilitates automatic collision avoidance and safeguards the MASS remote control. Moreover, the proposed RA-CADMS are used in several encounter situations to demonstrate the preference. The results show that the RA-CADMS is capable of providing accurate collision avoidance decisions, while ensuring efficiency of MASS maneuvering under different RA.http://dx.doi.org/10.1155/2021/7537825 |
| spellingShingle | Xiaolie Wu Kezhong Liu Jinfen Zhang Zhitao Yuan Jiongjiong Liu Qing Yu An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations Journal of Advanced Transportation |
| title | An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations |
| title_full | An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations |
| title_fullStr | An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations |
| title_full_unstemmed | An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations |
| title_short | An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations |
| title_sort | optimized collision avoidance decision making system for autonomous ships under human machine cooperation situations |
| url | http://dx.doi.org/10.1155/2021/7537825 |
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