• DocumentCode
    249502
  • Title

    GrandLand Traffic Data Processing Platform

  • Author

    Xingcan Cui ; Zhen Dong ; Liwei Lin ; Renyong Song ; Xiaohui Yu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    766
  • Lastpage
    767
  • Abstract
    Recent years have seen an increasing number of traffic surveillance cameras deployed on the main roads and intersections of metropolitan areas. For large and ediumsized cities, these cameras generate an enormous amount of data. Existing solutions based relational database systems cannot effectively manage and process such large volume of data, nor can they provide support for efficient and scalable support for either analytical tasks or tasks requiring response in real-time. To address these challenges, we have developed the GrandLand Traffic Data Processing Platform (GLPlatform) to provide distributed, scalable processing of traffic surveillance data.
  • Keywords
    Big Data; relational databases; traffic engineering computing; GLPlatform; GrandLand traffic data processing platform; distributed scalable processing; solutions based relational database systems; traffic surveillance data; Big data; Educational institutions; Licenses; Real-time systems; Surveillance; Vehicles; Traffic data; big data; data processing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2014 IEEE International Congress on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5056-0
  • Type

    conf

  • DOI
    10.1109/BigData.Congress.2014.113
  • Filename
    6906857