• 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