• DocumentCode
    2143947
  • Title

    Exploring GPS Data for Traffic Status Estimation

  • Author

    Chang, Yu-Ming ; Wei, Ling-Yin ; Lin, Chun-Shuo ; Jung, Chen-Hen ; Chen, I-Hung ; Peng, Wen-Chih

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2009
  • fDate
    18-20 May 2009
  • Firstpage
    369
  • Lastpage
    370
  • Abstract
    Traffic status plays an important role in navigation systems. To estimate traffic status, expensive sensors are deployed, which is not cost efficient. In view of the growth of GPS navigation services, in this paper, we propose two algorithms to estimate traffic status of road segments in our CarWeb platform. To evaluate our proposed algorithms, we implement the proposed algorithms in our CarWeb platform that is used to collect GPS data points from cars. Extensive experiments are conducted on real datasets and experimental results indicate that our algorithms can provide desirable predictions of traffic status.
  • Keywords
    Global Positioning System; traffic information systems; CarWeb platform; GPS data; datasets; navigation systems; road segments; traffic status estimation; Clustering algorithms; Computer science; Conference management; Data mining; Global Positioning System; Middleware; Mobile computing; Navigation; Roads; Telecommunication traffic; Traffic estimation; data mining; road networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-4153-2
  • Electronic_ISBN
    978-0-7695-3650-7
  • Type

    conf

  • DOI
    10.1109/MDM.2009.56
  • Filename
    5088963