Collision-Avoidance Decision System for Inland Ships Based on Velocity Obstacle Algorithms

被引:20
|
作者
Zhang, Guangyu [1 ]
Wang, Yan [1 ]
Liu, Jian [2 ]
Cai, Wei [2 ]
Wang, Hongbo [1 ]
机构
[1] Jilin Univ, Coll Elect Sci & Engn, State Key Lab Integrated Optoelect, Changchun 130012, Peoples R China
[2] Tianjin Nav Instrument Res Inst, Jiujiang 320007, Peoples R China
基金
中国国家自然科学基金;
关键词
inland ship; collision avoidance; velocity obstacle; MMG model;
D O I
10.3390/jmse10060814
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Due to the complex hydrology and narrow channels of inland rivers, ship collision accidents occur frequently. The traditional collision-avoidance algorithms are often aimed at sea areas, and not often at inland rivers. To solve the problem of inland-ship collision avoidance, this paper proposes an inland-ship collision-avoidance decision system based on the velocity obstacle algorithm. The system is designed to assist ships in achieving independent collision-avoidance operations under the limitation of maneuverability while meeting inland-ship collision-avoidance regulations. First, the paper improves the Maneuvering Modeling Group (MMG) model suitable for inland rivers. Then, it improves velocity obstacle algorithms based on the dynamic ship domain, which can deal with different obstacles and three encounter situations (head-on, crossing, and overtaking situations). In addition, this paper proposes a method to deal with close-quarters situations. Finally, the simulation environment built by MATLAB software is used to simulate the collision avoidance of inland ships against different obstacles under different situations with a decision-making time of less than 0.1 s. Through the analysis of the simulation results, the effectiveness and practicability of the system are verified, which can provide reasonable collision-avoidance decisions for inland ships.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] MAGNETIC ABSORBERS SERVE COLLISION-AVOIDANCE SYSTEM
    不详
    MICROWAVES & RF, 2012, 51 (02) : 92 - 92
  • [22] A collision avoidance algorithm with intention prediction for inland waterways ships
    Tran, Hoang Anh
    Johansen, Tor Arne
    Negenborn, Rudy R.
    IFAC PAPERSONLINE, 2023, 56 (02): : 4337 - 4343
  • [23] Dynamic collision avoidance for maritime autonomous surface ships based on deep Q-network with velocity obstacle method
    Li, Yuqin
    Wu, Defeng
    Wang, Hongdong
    Lou, Jiankun
    OCEAN ENGINEERING, 2025, 320
  • [24] Velocity obstacle based local collision avoidance for a holonomic elliptic robot
    Beom H. Lee
    Jae D. Jeon
    Jung H. Oh
    Autonomous Robots, 2017, 41 : 1347 - 1363
  • [25] Velocity obstacle based local collision avoidance for a holonomic elliptic robot
    Lee, Beom H.
    Jeon, Jae D.
    Oh, Jung H.
    AUTONOMOUS ROBOTS, 2017, 41 (06) : 1347 - 1363
  • [26] Fuzzy collision avoidance system for ships
    V. M. Grinyak
    A. S. Devyatisil’nyi
    Journal of Computer and Systems Sciences International, 2016, 55 : 249 - 259
  • [27] Fuzzy collision avoidance system for ships
    Grinyak, V. M.
    Devyatisil'nyi, A. S.
    JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 2016, 55 (02) : 249 - 259
  • [28] The study on intelligent vehicle collision-avoidance system with vision perception and fuzzy decision making
    Sun, TY
    Tsai, SJ
    Tseng, JY
    Tseng, YC
    2005 IEEE Intelligent Vehicles Symposium Proceedings, 2005, : 112 - 117
  • [30] Velocity obstacle algorithms for collision prevention at sea
    Huang, Yamin
    van Gelder, P. H. A. J. M.
    Wen, Yuanqiao
    OCEAN ENGINEERING, 2018, 151 : 308 - 321