Coordinated Anti-Collision Path Planning Algorithm for Marine Surface Vessels

被引:10
|
作者
Ni, Shengke [1 ]
Liu, Zhengjiang [1 ]
Cai, Yao [1 ]
Gao, Shang [2 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] Dalian Shipbldg Ind Co Ltd, Dalian 116026, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国国家自然科学基金;
关键词
Marine vehicles; Path planning; Optimization; Navigation; Mathematical model; Genetic algorithms; Dynamics; multilayer coding genetic algorithm; synergetic theory; queueing theory; optimization echelon; COLLISION-AVOIDANCE; DECISION-SUPPORT; SHIPS; SITUATIONS; DESIGN;
D O I
10.1109/ACCESS.2020.3021091
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents a coordinated anti-collision path planning algorithm for marine surface vessels in complex multi-ship encounter. Unlike previous research that follows the optimization sequence one step after the other from the prospective of single ship, a multi-stage anti-collision strategy from the overall perspective is established based on the principles of Synergetic theory and Queueing theory, which guarantees the compliance with navigation practice and the coordination among ships' avoidance actions. The concept of an optimization echelon is proposed to help categorize the optimization priority. Then a Multilayer Coding Genetic Algorithm enables all ships belonging to the same optimization echelon participate in the decision-making process simultaneously. Furthermore, the quantitative model of encounter situation is refined through the sensibility analysis. Finally, simulation examples consisting different traffic scenarios are analysed to demonstrate the effectiveness and practicality of the proposed scheme.
引用
收藏
页码:160825 / 160839
页数:15
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