一种新的随机交通流模型的分岔分析

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
W. Ai, Ruihong Tian, Da-Wei Liu, Wenshan Duan
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引用次数: 0

摘要

摘要描述交通流在加速或减速过程中的随机行为的随机函数可以更好地捕捉交通流的随机特征。在此基础上,我们将随机函数引入高阶粘性连续交通流模型,并提出了一个随机交通流模型。在此基础上,对交通流系统进行了分岔分析。相应地,将交通流问题转化为系统的稳定性分析问题,突出了拥堵等不稳定的交通特性。该模型可用于研究交通流的非线性动力学行为。基于该模型,从理论上证明了Hopf分岔和鞍节点分岔的存在性。并从理论上导出了Hopf分岔的类型。该模型也可用于研究系统在分岔点的稳定性突变行为。从系统的密度时空图中,我们发现系统在经过分岔点时发生了稳定性突变,这与理论分析结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bifurcation analysis of a new stochastic traffic flow model
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.
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来源期刊
CiteScore
2.80
自引率
6.70%
发文量
117
审稿时长
13.7 months
期刊介绍: The International Journal of Nonlinear Sciences and Numerical Simulation publishes original papers on all subjects relevant to nonlinear sciences and numerical simulation. The journal is directed at Researchers in Nonlinear Sciences, Engineers, and Computational Scientists, Economists, and others, who either study the nature of nonlinear problems or conduct numerical simulations of nonlinear problems.
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