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Chin. Phys. B, 2018, Vol. 27(7): 070202    DOI: 10.1088/1674-1056/27/7/070202
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A macroscopic traffic model based on weather conditions

Zawar H. Khan1, Syed Abid Ali Shah2, T. Aaron Gulliver2
1 Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan;
2 Department of Electrical and Computer Engineering, University of Victoria, PO Box 1700, STN CSC, Victoria, BC Canada
Abstract  A traffic model based on the road surface conditions during adverse weather is presented. The surface of a road is affected by snow, compacted snow, and ice, which affects the traffic behavior. In this paper, a new macroscopic traffic flow model based on the transition velocity distribution is proposed which characterizes traffic alignment under adverse weather conditions. Two examples are considered to illustrate the effect of the transition velocity behavior on traffic velocity and density. Simulation results are presented which show that this model provides a more accurate characterization of traffic flow behavior than the well known Payne-Whitham model. The proposed model can be used to reduce accidents and improve road safety during adverse weather conditions.
Keywords:  macroscopic traffic flow      anticipation      Payne-Witham (PW) model      adverse weather  
Received:  20 November 2017      Revised:  04 April 2018      Accepted manuscript online: 
PACS:  02.30.Jr (Partial differential equations)  
  02.60.Cb (Numerical simulation; solution of equations)  
Fund: Project supported by Higher Education Commission, Pakistan/National Center of Big Data and Cloud Computing.
Corresponding Authors:  Zawar H. Khan     E-mail:

Cite this article: 

Zawar H. Khan, Syed Abid Ali Shah, T. Aaron Gulliver A macroscopic traffic model based on weather conditions 2018 Chin. Phys. B 27 070202

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