中国物理B ›› 2018, Vol. 27 ›› Issue (7): 70202-070202.doi: 10.1088/1674-1056/27/7/070202

• GENERAL • 上一篇    下一篇

A macroscopic traffic model based on weather conditions

Zawar H. Khan, Syed Abid Ali Shah, T. Aaron Gulliver   

  1. 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
  • 收稿日期:2017-11-20 修回日期:2018-04-04 出版日期:2018-07-05 发布日期:2018-07-05
  • 通讯作者: Zawar H. Khan E-mail:zawarkhan@nwfpuet.edu.pk
  • 基金资助:
    Project supported by Higher Education Commission, Pakistan/National Center of Big Data and Cloud Computing.

A macroscopic traffic model based on weather conditions

Zawar H. Khan1, Syed Abid Ali Shah2, T. Aaron Gulliver2   

  1. 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
  • Received:2017-11-20 Revised:2018-04-04 Online:2018-07-05 Published:2018-07-05
  • Contact: Zawar H. Khan E-mail:zawarkhan@nwfpuet.edu.pk
  • Supported by:
    Project supported by Higher Education Commission, Pakistan/National Center of Big Data and Cloud Computing.

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摘要： 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.

关键词: macroscopic traffic flow, anticipation, Payne-Witham (PW) model, adverse weather

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.

Key words: macroscopic traffic flow, anticipation, Payne-Witham (PW) model, adverse weather

中图分类号:  (Partial differential equations)

  • 02.30.Jr
02.60.Cb (Numerical simulation; solution of equations)