2011•Chinese Physics BOpen access

A novel macroscopic traffic model based on generalized optimal velocity model

Xuan-Hao Zhou, Yong-Zai Lü

Open full text 3 citations

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.

Open-access reader

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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 concepts: Traffic model, Granularity, Computer science, Microscopic traffic flow model, Statistical physics, Network model, Traffic flow (computer networking), Traffic generation model

Related papers

Back to paper searchBrowse research topicsOriginal source
A novel macroscopic traffic model based on generalized optimal velocity model — Research Paper | ScholarLens