A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs

被引:179
作者
Zhang, Jinfen [1 ]
Zhang, Di [2 ,3 ]
Yan, Xinping [2 ,3 ]
Haugen, Stein [4 ]
Guedes Soares, C. [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, P-1699 Lisbon, Portugal
[2] Natl Engn Res Ctr Water Transport Safety WTS Ctr, Beijing, Peoples R China
[3] Wuhan Univ Technol, Intelligent Transport Syst Res Ctr, Wuhan, Hubei, Peoples R China
[4] Norwegian Univ Sci & Technol, Dept Marine Technol, Trondheim, Norway
基金
美国国家科学基金会;
关键词
Maritime transportation; Ship collision avoidance; COLREGs; Decision supporting; COLLISION-AVOIDANCE; AIS DATA; NAVIGATION; ALGORITHM; ACCIDENTS; VESSELS; SYSTEM; CRAFT; MODEL;
D O I
10.1016/j.oceaneng.2015.06.054
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
A multi-ship anti-collision decision support formulation is studied in a distributed and real time way. Under the general requirements from COLREGs rules and regulations, the performance of course alteration and changing speed in collision avoidance in some typical encounter situations is graphically analysed for both give-way and stand-on ships. Based on the analysis, the initial decision on collision avoidance by course alteration or speed changing is made according to the encounter situation between own ship and target ships. Linear extension algorithms are designed for both course alteration and speed reduction to keep clearance of all the target ships that own ship should avoid. Simulation results indicate that the anti-collision formulation can avoid collision when all ships have complied with COLREGs as well as when some of them do not take actions. The results also show that in multi-ship encounter situations, the violation of COLREGs by one ship can sometimes bring more difficulties to other ships to avoid collision while undesirable manoeuvre actions have to be taken. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:336 / 348
页数:13
相关论文
共 24 条
[1]   Evolutionary trajectory planning of ships in navigation traffic areas [J].
Smierzchalski R. .
Journal of Marine Science and Technology, 1999, 4 (1) :1-6
[2]   Causal factors in accidents of high-speed craft and conventional ocean-going vessels [J].
Antao, Pedro ;
Soares, C. Guedes .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2008, 93 (09) :1292-1304
[3]   A method for protocol-based collision avoidance between autonomous marine surface craft [J].
Benjamin, Michael R. ;
Leonard, John J. ;
Curcio, Joseph A. ;
Newman, Paul M. .
JOURNAL OF FIELD ROBOTICS, 2006, 23 (05) :333-346
[4]   Navigation of unmanned marine vehicles in accordance with the rules of the road [J].
Benjamin, Michael R. ;
Curcio, Joseph A. ;
Leonard, John J. ;
Newman, Paul M. .
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, :3581-+
[5]   Analytical HFACS for investigating human errors in shipping accidents [J].
Celik, Metin ;
Cebi, Selcuk .
ACCIDENT ANALYSIS AND PREVENTION, 2009, 41 (01) :66-75
[6]   Using system simulation to model the impact of human error in a maritime system [J].
Harrald, JR ;
Mazzuchi, TA ;
Spahn, J ;
Van Dorp, R ;
Merrick, J ;
Shrestha, S ;
Grabowski, M .
SAFETY SCIENCE, 1998, 30 (1-2) :235-247
[7]  
Lin B., 2006, Journal of Marine Science and Technology, V14, P225, DOI DOI 10.51400/2709-6998.2093
[8]  
Liu L., 2010, J TRANSP INF SAF, V4, P116
[9]   Probability modelling of vessel collisions [J].
Montewka, Jakub ;
Hinz, Tomasz ;
Kujala, Pentti ;
Matusiak, Jerzy .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2010, 95 (05) :573-589
[10]   Intelligent Ocean Navigation and Fuzzy-Bayesian Decision/Action Formulation [J].
Perera, L. P. ;
Carvalho, J. P. ;
Guedes Soares, C. .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2012, 37 (02) :204-219