Title :
A multi-agent information fusion model for ship collision avoidance
Author :
Liu, Yu-hong ; Wang, Sheng-zheng ; Du, Xuan-min
Author_Institution :
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai
Abstract :
A decision making model for ship collision avoidance is developed in this paper by use of the information fusion methods. The model consists of two kinds of agents, ship agent and VTS agent, and three fusion levels, original data fusion level, multiple union fusion level and distributed plan fusion level. With this model, a final collision avoidance plan with less inconsistent and more economic than distributed plans for ships within same negotiation union can be obtained.
Keywords :
collision avoidance; decision making; multi-agent systems; ships; traffic engineering computing; VTS agent; decision making model; multi-agent information fusion model; ship agent; ship collision avoidance; Collision avoidance; Cybernetics; Decision making; Decision support systems; Educational institutions; Humans; Machine learning; Marine vehicles; Problem-solving; Risk analysis; Collision avoidance; Information fusion; Multi-agent; Simulation;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620369
