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SUN Ling, LIU Hao, NIU Shu-yun. Reconstructive method of missing data for location-specific detector considering spatio-temporal relationship[J]. Journal of Traffic and Transportation Engineering, 2010, 10(5): 121-126. doi: 10.19818/j.cnki.1671-1637.2010.05.021
Citation: SUN Ling, LIU Hao, NIU Shu-yun. Reconstructive method of missing data for location-specific detector considering spatio-temporal relationship[J]. Journal of Traffic and Transportation Engineering, 2010, 10(5): 121-126. doi: 10.19818/j.cnki.1671-1637.2010.05.021
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Reconstructive method of missing data for location-specific detector considering spatio-temporal relationship

doi: 10.19818/j.cnki.1671-1637.2010.05.021
  • 1.

    Research Institute of Highway of Ministry of Transport, Beijing 100088, China

  • 2.

    National Intelligent Transport Systems Center of Engineering and Technology, Beijing 100088, China

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  • Author Bio:

    SUN Ling(1979-), female, assistant researcher, +86-10-62079711-65, ling.sun@rioh.cn

  • Received Date: 2010-04-11
  • Publish Date: 2010-10-25
    Abstract
  • The relationship between the missing data and other data of traffic flow was studied by using correlation theory. A reconstructive method based on spatio-temporal relative weight values was put forward when other data had different correlations with missing data and were given different spatio-temporal relative weight values. The Beijing Expressway of Second Ring Road was selected as test road, its simulation models were established by using VISSIM, and the new method and existing methods were compared by using simulation data. Analysis result shows that the maximum average relative error between the reconstruction values and simulation values of model 1 is only 1.876 6% and below 1.000 0% in general when the numbers of continuous missing data are from 1 to 10, so the method of model 1 is better than existing reconstructive methods.

     

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