中国物理B ›› 2011, Vol. 20 ›› Issue (1): 14501-014501.doi: 10.1088/1674-1056/20/1/014501

• CLASSICAL AREAS OF PHENOMENOLOGY • 上一篇    下一篇

A novel macroscopic traffic model based on generalized optimal velocity model

周玄昊, 吕勇哉   

  1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
  • 收稿日期:2010-04-27 修回日期:2010-06-24 出版日期:2011-01-15 发布日期:2011-01-15
  • 基金资助:
    Project supported by National Creative Research Groups Science Foundation of China (Grant No. 60721062), National Basic Research Program of China (Grant No. 2007CB714000).

A novel macroscopic traffic model based on generalized optimal velocity model

Zhou Xuan-Hao(周玄昊) and Lü Yong-Zai(吕勇哉)†   

  1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
  • Received:2010-04-27 Revised:2010-06-24 Online:2011-01-15 Published:2011-01-15
  • Supported by:
    Project supported by National Creative Research Groups Science Foundation of China (Grant No. 60721062), National Basic Research Program of China (Grant No. 2007CB714000).

PDF (PC)

945

赞

摘要： In this paper, we adopt the coarse graining method proposed by Lee H K et al. to develop a macroscopic model from the microscopic traffic model-GOVM. The proposed model inherits the parameter p which considers the influence of next-nearest car introduced in the GOVM model. The simulation results show that the new model is strictly consistent with the former microscopic model. Using this macroscopic model, we can avoid considering the details of each traffic on the road, and build more complex models such as road network model easily in the future.

Abstract: In this paper, we adopt the coarse graining method proposed by Lee H K et al. to develop a macroscopic model from the microscopic traffic model-GOVM. The proposed model inherits the parameter p which considers the influence of next-nearest car introduced in the GOVM model. The simulation results show that the new model is strictly consistent with the former microscopic model. Using this macroscopic model, we can avoid considering the details of each traffic on the road, and build more complex models such as road network model easily in the future.

Key words: macroscopic model, microscopic model, traffic flow

中图分类号:  (Granular models of complex systems; traffic flow)

  • 45.70.Vn