Developing Real-Time Queue Estimation Model with Dynamic Capacity based on Shock Wave Analysis

The authors developed a time-space discrete macroscopic model based on the shockwave theory for real-time queue estimation at active bottlenecks. In the proposed model, the authors consider dynamic capacity, because, when queued, vehicles may not be stationary. With different demand inputs in the same bottleneck, the authors found that, from queue onset, the discharge flow was dynamic; this was the most sensitive parameter influencing the accuracy of queue-length estimation. The authors determined queue onset time, and investigated several bottlenecks on an urban freeway in Edmonton, Canada, and estimated the input parameters from loop detector data. The authors compared the real-time queue length (obtained from VISSIM 5.3) with the proposed macroscopic model, which included the dynamic parameters, and the base microscopic model, which excluded the dynamic parameters. The queue analysis was done using a shockwave, VISSIM-simulated scenario, functioning as the real world traffic system. The proposed model more accurately estimated queue length than the base model.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 4055.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Cao, Jing
    • Hadiuzzaman, Md
    • Luo, Ying
    • Qiu, Tony Z
  • Conference:
  • Publication Date: 2013


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 10p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01538737
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Sep 9 2014 9:37AM