• DocumentCode
    175967
  • Title

    Intelligent collaborative urban traffic management system based on SOA and cloud computing

  • Author

    Fuquan Sun ; Xi Yu ; Shixin Liu ; Fuqiang Lu

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1692
  • Lastpage
    1695
  • Abstract
    Now the congestion of road has impacted on the city development seriously, and became the crux which constrained the city development. An intelligent urban traffic management system is needed urgently. In this paper an architecture of the intelligent collaborative urban traffic management system based on SOA and cloud computing is proposed. A collaborative service model based on SOA is given to realize intelligent collaborative management of urban traffic. The technology of service request and response dispatching based on SOA is proposed in the paper to match the collaborative event processing. Mass calculation was realized by the application of the cloud computing platform. The system fundamentally realizes the intelligent monitoring and management of urban traffic and realizes the purpose of intelligent dredge of urban traffic.
  • Keywords
    cloud computing; groupware; road traffic; service-oriented architecture; traffic engineering computing; SOA; city development; cloud computing platform; collaborative event processing; collaborative service model; intelligent collaborative urban traffic management system; mass calculation; response dispatching technology; road congestion; service oriented architecture; service request technology; Artificial intelligence; Cloud computing; Collaboration; Dispatching; Monitoring; Roads; Service-oriented architecture; SOA; cloud computing; collaborative; intelligent; urban traffic management system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852441
  • Filename
    6852441