• DocumentCode
    1907256
  • Title

    Study on Traffic Data Pre-Processing Technology Based on RTMS

  • Author

    Song, Huijuan ; Jia, Yuanhua ; Shu, Zhiqiang

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    791
  • Lastpage
    794
  • Abstract
    Traffic flow data is the base of traffic real-time control, traffic analysis and support of traffic management. Due to detection equipment failure, transmission failure, and outside interferences, there exist various errors in the original detected data and which will influence information accuracy. And the non-unified data standards also bring the difficulty and interference to the data analysis, mining and integration. This paper gives the detailed analysis of the error data types and causes of the problem based on RTMS, as well as put forward the modified schedule that suit to three types of incorrect data and which are time points deviation, data loss and data error. At last, Beijing RTMS detection data is taken for explanation.
  • Keywords
    automated highways; data analysis; data mining; microwave detectors; road traffic; traffic engineering computing; RTMS detection; data analysis; data integration; data loss; data mining; equipment failure; error data type; nonunified data standard; outside interference; remote traffic microwave sensor; time point deviation; traffic analysis; traffic data preprocessing technology; traffic flow data; traffic management; traffic real-time control; transmission failure; Automation; Computerized monitoring; Data analysis; Data mining; Equipment failure; Error correction; Failure analysis; Interference; Sampling methods; Transportation; insert RTMS; pre-processing; time points deviation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.656
  • Filename
    5288106