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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(2): 120-126
LI Qi, JIANG Gui-yan. Quality evaluation and control method of vehicle detector data on urban expressway[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 120-126. doi: 10.19818/j.cnki.1671-1637.2013.02.018
Citation: LI Qi, JIANG Gui-yan. Quality evaluation and control method of vehicle detector data on urban expressway[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 120-126. doi: 10.19818/j.cnki.1671-1637.2013.02.018
shu

Quality evaluation and control method of vehicle detector data on urban expressway

doi: 10.19818/j.cnki.1671-1637.2013.02.018
  • 1.

    School of Traffic, Jilin University, Changchun 130012, Jilin, China

  • 2.

    School of Maritime and Transportation, Ningbo University, Ningbo 315211, Zhejiang, China

More Information
  • Author Bio:

    LI Qi(1985-), male, doctoral student, +86-431-85095505, liqi19851211@126.com

    JIANG Guryan(1964-), female, professor, PhD, +86-431-85095505, jianggy@jlu.edu.cn

  • Received Date: 2012-11-23
  • Publish Date: 2013-04-25
    Abstract
  • In order to improve the accuracy of vehicle detector data, a quality evaluation and control method of vehicle detector data on urban expressway was proposed.A data quality evaluation and control process was proposed by comprehensive considering a single location and the law of flow conservation. A data quality evaluation method based on flow cumulative curves was proposed by analyzing the characteristics of the flow cumulative curves of upstream and downstream detected sections. With the objective function that the square sum of the difference between the adjusted and the observed flow cumulative value of vehicles for all detected sections in the road network was minimum, and with the restriction condition of the characteristics of flow cumulative curves, a data quality control method based on the optimization techniques was proposed.The evaluation and control method was verified and compared by using the data collected from inductive loop detectors on a megacity urban expressway. Verified result indicates that when the introduced errors are 0.025, 0.050, 0.075, and 0.100, the mean absolute percentage errors computed by the method are 2.40%, 3.83%, 5.70% and 8.26% respectively, and its accuracy is more than 97%, so the method has better precision than comparison methods.

     

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