A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm
In the process of ship collision avoidance decision making, steering collision avoidance is the most frequently adopted collision avoidance method. In order to obtain an effective and reasonable steering angle, this paper proposes a decision-making method for ship collision avoidance based on improv...
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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/10.1155/2021/8898507 |
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| _version_ | 1832568549281890304 |
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| author | Yisong Zheng Xiuguo Zhang Zijing Shang Siyu Guo Yiquan Du |
| author_facet | Yisong Zheng Xiuguo Zhang Zijing Shang Siyu Guo Yiquan Du |
| author_sort | Yisong Zheng |
| collection | DOAJ |
| description | In the process of ship collision avoidance decision making, steering collision avoidance is the most frequently adopted collision avoidance method. In order to obtain an effective and reasonable steering angle, this paper proposes a decision-making method for ship collision avoidance based on improved cultural particle swarm. Firstly, the ship steering angle direction is to be determined. In this stage, the Kalman filter is used to predict the ship’s trajectory. According to the prediction parameters, the collision risk index of the ship is calculated and the situation with the most dangerous ship is judged. Then, the steering angle direction of the ship is determined by considering the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs). Secondly, the ship steering angle is to be calculated. In this stage, the cultural particle swarm optimization algorithm is improved by introducing the index of population premature convergence degree to adaptively adjust the inertia weight of the cultural particle swarm so as to avoid the algorithm falling into premature convergence state. The improved cultural particle swarm optimization algorithm is used to find the optimal steering angle within the range of the steering angle direction. Compared with other evolutionary algorithms, the improved cultural particle swarm optimization algorithm has better global convergence. The convergence speed and stability are also significantly improved. Thirdly, the ship steering angle direction decision method in the first stage and the ship steering angle decision method in the second stage are integrated into the electronic chart platform to verify the effectiveness of the decision-making method of ship collision avoidance presented in this paper. Results show that the proposed approach can automatically realize collision avoidance from all other ships and it has an important practical application value. |
| format | Article |
| id | doaj-art-183f54fa7f054a4599e44392692d362e |
| 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-183f54fa7f054a4599e44392692d362e2025-02-03T00:58:47ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/88985078898507A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle SwarmYisong Zheng0Xiuguo Zhang1Zijing Shang2Siyu Guo3Yiquan Du4School of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaIn the process of ship collision avoidance decision making, steering collision avoidance is the most frequently adopted collision avoidance method. In order to obtain an effective and reasonable steering angle, this paper proposes a decision-making method for ship collision avoidance based on improved cultural particle swarm. Firstly, the ship steering angle direction is to be determined. In this stage, the Kalman filter is used to predict the ship’s trajectory. According to the prediction parameters, the collision risk index of the ship is calculated and the situation with the most dangerous ship is judged. Then, the steering angle direction of the ship is determined by considering the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs). Secondly, the ship steering angle is to be calculated. In this stage, the cultural particle swarm optimization algorithm is improved by introducing the index of population premature convergence degree to adaptively adjust the inertia weight of the cultural particle swarm so as to avoid the algorithm falling into premature convergence state. The improved cultural particle swarm optimization algorithm is used to find the optimal steering angle within the range of the steering angle direction. Compared with other evolutionary algorithms, the improved cultural particle swarm optimization algorithm has better global convergence. The convergence speed and stability are also significantly improved. Thirdly, the ship steering angle direction decision method in the first stage and the ship steering angle decision method in the second stage are integrated into the electronic chart platform to verify the effectiveness of the decision-making method of ship collision avoidance presented in this paper. Results show that the proposed approach can automatically realize collision avoidance from all other ships and it has an important practical application value.http://dx.doi.org/10.1155/2021/8898507 |
| spellingShingle | Yisong Zheng Xiuguo Zhang Zijing Shang Siyu Guo Yiquan Du A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm Journal of Advanced Transportation |
| title | A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm |
| title_full | A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm |
| title_fullStr | A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm |
| title_full_unstemmed | A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm |
| title_short | A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm |
| title_sort | decision making method for ship collision avoidance based on improved cultural particle swarm |
| url | http://dx.doi.org/10.1155/2021/8898507 |
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