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
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;
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
DOI :
10.1109/GSIS.2007.4443365