DocumentCode
2912922
Title
Research on public traffic control of multi-agents system based on grey disaster predication
Author
Chen Tao ; Chen Senfa ; Zhu Jinfeng
Author_Institution
Southeast Univ., Nanjing
fYear
2007
fDate
18-20 Nov. 2007
Firstpage
701
Lastpage
706
Abstract
In the multi-agents public traffic control system, the problem about being comfortable is very important. The challenge is to find solutions to achieve the objective minimized amount of vehicles in overload. This paper proposes a solution algorithm for keeping comfortable of public traffic based on grey disaster prediction through principled cooperation between agents that represent traffic command center, traffic operators, and drivers. It is deduced that the algorithm is practical and adaptable to a variety of public traffic networks.
Keywords
disasters; grey systems; multi-agent systems; road traffic; road vehicles; traffic control; traffic engineering computing; grey disaster predication; multiagent public traffic control system; road vehicles; traffic command center; Communication system traffic control; Disaster management; Economic forecasting; Intelligent systems; Intelligent transportation systems; Intelligent vehicles; Multiagent systems; Space vehicles; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-1294-5
Electronic_ISBN
978-1-4244-1294-5
Type
conf
DOI
10.1109/GSIS.2007.4443365
Filename
4443365
Link To Document