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

Volume

1

fYear

2008

fDate

12-15 July 2008

Firstpage

6

Lastpage

11

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2008.4620369

Filename

4620369