Bifurcation analysis of a new stochastic traffic flow model

Author:

Ai WenHuan1,Tian RuiHong1,Liu DaWei2,Duan WenShan3

Affiliation:

1. College of Computer Science and Engineering , Northwest Normal University , Lanzhou , Gansu , 730070 , China

2. College of Electrical Engineering , Lanzhou Institute of Technology , Lanzhou , Gansu , 730050 , China

3. Northwest Normal University , Lanzhou , Gansu , 730070 , China

Abstract

Abstract The stochastic function describing the stochastic behavior of traffic flow in the process of acceleration or deceleration can better capture the stochastic characteristics of traffic flow. Based on this, we introduce the stochastic function into a high-order viscous continuous traffic flow model and propose a stochastic traffic flow model. Furthermore, we performed the bifurcation analysis of traffic flow system based on the model. Accordingly, the traffic flow problem is transformed into the stability analysis problem of the system, highlighting the unstable traffic characteristics such as congestion. The model can be used to study the nonlinear dynamic behavior of traffic flow. Based on this model, the existence of Hopf bifurcation and the saddle-node bifurcation is theoretically proved. And the type of the Hopf bifurcation is theoretically derived. The model can also be used to study the mutation behavior of system stability at bifurcation point. From the density space-time diagram of the system, we find that the system undergoes a stability mutation when it passes through the bifurcation point, which is consistent with the theoretical analysis results.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,General Physics and Astronomy,Mechanics of Materials,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics,Statistical and Nonlinear Physics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bifurcation analysis of macroscopic traffic flow models based on driver behavior;International Journal of Modern Physics C;2024-02-02

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