吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 85-91.doi: 10.13229/j.cnki.jdxbgxb201601013

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Real-time queue length estimation at signalized intersection

ZHAO Shu-zhi1, LIANG Shi-dong1, MA Ming-hui1, LIU Hua-sheng1, ZHU Yong-gang2   

  1. 1.College of Transportation, Jilin University,Changchun 130022,China;
    2.School of Business Administration,Jilin University of Finance and Economics,Changchun 130117,China
  • Received:2014-09-24 Online:2016-01-30 Published:2016-01-30

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Abstract: In order to estimate the real-time queue length at signalized intersection, a macroscopic traffic flow model METANET was improved to describe vehicle accumulation and discharge process in urban road. First, the queue tail cell is identified according to analysis of the density calculated with the improved traffic flow model. Then, the vehicle spatial distribution in the queue tail cell is analyzed to identify the location of the queue tail, so that the queue length can be calculated. Finally, the proposed model is evaluated and the results demonstrate that this model can be used to estimate queue length in real-time with satisfactory accuracy. The proposed estimation method may be used to support the strategy generation of traffic control and management.

Key words: communication and transportation engineering, macroscopic traffic flow model, intersection signal control, queue length

CLC Number: 

  • U491
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