A novel macroscopic traffic model based on generalized optimal velocity model

doi:10.1088/1674-1056/20/1/014501

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.

Keywords: macroscopic model microscopic model traffic flow

Received: 27 April 2010
Revised: 24 June 2010
Accepted manuscript online:

PACS:

45.70.Vn

(Granular models of complex systems; traffic flow)

Fund: Project supported by National Creative Research Groups Science Foundation of China (Grant No. 60721062), National Basic Research Program of China (Grant No. 2007CB714000).

Cite this article:

Zhou Xuan-Hao(周玄昊) and Lü Yong-Zai(吕勇哉) A novel macroscopic traffic model based on generalized optimal velocity model 2011 Chin. Phys. B 20 014501

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