Home > Papers

 
 
A simple method for predicting real-time vehicle queue length
Yao Ronghan 1 *,Wang Dianhai 2
1.Center for Transportation Research, Dalian University of Technology
2.Transportation College of Jilin University
*Correspondence author
#Submitted by
Subject:
Funding: 国家自然科学基金,“973”计划(No.50808035,2006CB705505)
Opened online:23 March 2009
Accepted by: none
Citation: Yao Ronghan,Wang Dianhai.A simple method for predicting real-time vehicle queue length[OL]. [23 March 2009] http://en.paper.edu.cn/en_releasepaper/content/30579
 
 
In order to seek a simple method to predict real-time vehicle queue length, the basic assumption of which traffic flow in transition is divided into two fluids was represented. The equivalent queue length model was developed on the basis of the conservation equation. The concrete expressions under the two cases were argued. The methods of calculating or calibrating parameters were given. To validate the models under the two cases, the simulation schemes for the first case and the survey schemes for the second case were designed. By contrasting the equivalent queue lengths from the models with the actual queue lengths from the schemes, the following results are found. First, the equivalent queue lengths are all longer than the actual queue lengths. Second, the equivalent queue lengths are stable and the actual queue lengths are fluctuating. The conclusions indicate that the equivalent queue length model can quantitively and better describe the congestion level of traffic flow, especially, for congested traffic flow. Computational implementation of the new method is tractable and can be done very effectively, making it suitable for real-time queue length estimation.
Keywords:traffic engineering; traffic flow; real-time vehicle queue length; congestion level
 
 
 

For this paper

  • PDF (0B)
  • ● Revision 0   
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded 778
Bookmarked 0
Recommend 5
Comments Array
Submit your papers