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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2009  >  9(2): 121-126
LIU Jun-juan, WANG Wei, CHENG Lin. Service level evaluation of signalized intersection based on trapezoid whitenization weight function[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 121-126. doi: 10.19818/j.cnki.1671-1637.2009.02.022
Citation: LIU Jun-juan, WANG Wei, CHENG Lin. Service level evaluation of signalized intersection based on trapezoid whitenization weight function[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 121-126. doi: 10.19818/j.cnki.1671-1637.2009.02.022
shu

Service level evaluation of signalized intersection based on trapezoid whitenization weight function

doi: 10.19818/j.cnki.1671-1637.2009.02.022
  • 1.

    School of Information and Management Sciences, Henan Agricultural University, Zhengzhou 450002, Henan, China

  • 2.

    School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China

More Information
  • Author Bio:

    LIU Jun-juan(1974-), female, lecturer, PhD, +86-371-63555710, zzjjliu@126.com

  • Received Date: 2008-11-28
  • Publish Date: 2009-04-25
    Abstract
  • The connotation and extension of service level for signalized intersection were analyzed, grey number was adopted to express the evaluation indices and clustering thresholds by using grey clustering idea. Grey number formula and clustering model were built based on trapezoid whitenization weight function. A revised method was given to determine grey number value and was approximately described by 3σ and 1.23σ principles of normal distribution in view of the traffic characteristics of signalized intersection. The service levels of 3 signalized intersections were evaluated by using the model. Analysis result shows that maximum clustering values of intersection A1, A2 and A3 are respectively [0.416, 0.839], [0.202, 0.728] and [0.413, 0.645], the grades of service levels form high to low are A1, A3 and A2, so clustering model and grey number formula are reasonable and effective.

     

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