A Lattice Hydrodynamic Model Considering the Following Lattice and its Stability Analysis

Xiang Lin Han; Cheng Ouyang

doi:10.4028/www.scientific.net/AMM.444-445.293

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 444-445A Lattice Hydrodynamic Model Considering the...

A Lattice Hydrodynamic Model Considering the Following Lattice and its Stability Analysis

Abstract:

Incorporating the ITS in traffic flow, two lattice hydrodynamic models considering the following lattice are proposed to study the influence of the following lattice on traffic flow stability. The results from the linear stability theory show that considering the following lattice could lead to the improvement of the traffic flow stability. The modified Korteweg-de Vries equations (the mKdV equation, for short) near the critical point are derived by using the nonlinear perturbation method to show that the traffic jam could be described by the kink-antikink soliton solutions for the mKdV equations.

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Periodical:

Applied Mechanics and Materials (Volumes 444-445)

Pages:

293-298

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.444-445.293

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Online since:

October 2013

Authors:

Xiang Lin Han, Cheng Ouyang

Keywords:

Intelligent Transportation System (ITS), Lattice Hydrodynamic Model, Mkdv Equation, Stability, Traffic Flow

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References

[1] Fu C J, Wang B H, Yin C Y, Gao K, Intelligent decision-making in a two-route traffic flow model, Acta Physica Sinica, 55(2006), 4032-4038.

DOI: 10.7498/aps.55.4032

Google Scholar

[2] Tang T Q, Huang H J, Xue Y, An improved two-lane traffic flow lattice model. Acta Physica Sinica, 55(2006), 4026-4031.

Google Scholar

[3] Huang P H, Tan H L, Kong L J, Liu M R, A study of a main-road traffic flow model with turning-probability under open-bound condition, Acta Physica Sinica, 54(2005) , 3044-3050.

DOI: 10.7498/aps.54.3044

Google Scholar

[4] Kerner B.D. and Konhäuser, Cluster effect in initially homogeneous traffic fllow, Phys. Rev. E, 1993, 48: 2335-2338.

DOI: 10.1103/physreve.48.r2335

Google Scholar

[5] Kerner B.D. and Konhäuser, Structure and parameters of cluster in traffic fllow, Phys. Rev. E, 1994, 50(1): 54-83.

Google Scholar

[6] Ge H.X., Dai S.Q., Xue Y. and Dong L.Y., Stabilization Analysis and Modified Korteweg–de Vries Equation in a Cooperative Driving System, Physical Review E, , 71(2005). 066119.

DOI: 10.1103/physreve.71.066119

Google Scholar