• DocumentCode
    3052283
  • Title

    Speed estimation with single loop detector using typical effective vehicle length

  • Author

    Zhu, Lili ; Jin, Sheng

  • Author_Institution
    Wenzhou Urban Planning & Design Inst., Wenzhou, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    4096
  • Lastpage
    4099
  • Abstract
    The importance of real-time speed estimation is undoubtedly significant for traveler information and traffic management systems. Unfortunately, the most common form of traffic detector, the single loop detector, is incapable of providing speed measurements. Analyzing the weakness of mean effective vehicle length (MEVL), typical effective vehicle length (TEVL) was introduced instead of MEVL using in speed estimation. The TEVL is more robust than MEVL and has less difference in different detector stations. So the same value of TEVL can be set for all detector stations. Then a new method was proposed to reduce the error of speed estimation. This method used the 15th percentile vehicle passage time over the detector which was the typical vehicle passage time corresponding to TEVL. The algorithm of the proposed method is implemented and evaluated using the field data from urban expressways in Beijing. The results show that the proposed method has more excellent estimation accuracy than conventional method.
  • Keywords
    road traffic; traffic information systems; velocity measurement; mean effective vehicle length; real-time speed estimation; single loop detector; traffic management systems; traveler information; typical effective vehicle length; Detectors; Equations; Estimation; Mathematical model; Robustness; Vehicles; Single Loop Detector; Speed Estimation; Typical effective vehicle length;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6003177
  • Filename
    6003177