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Bifurcation analysis method of nonlinear traffic phenomena

Author

Listed:
  • Wenhuan Ai

    (College of Automation, Northwestern Polytechnical University, No. 127 Youyi Road (West) Beilin, Xi'an, Shaanxi 710072, P. R. China)

  • Zhongke Shi

    (College of Automation, Northwestern Polytechnical University, No. 127 Youyi Road (West) Beilin, Xi'an, Shaanxi 710072, P. R. China)

  • Dawei Liu

    (College of Automation, Northwestern Polytechnical University, No. 127 Youyi Road (West) Beilin, Xi'an, Shaanxi 710072, P. R. China)

Abstract

A new bifurcation analysis method for analyzing and predicting the complex nonlinear traffic phenomena based on the macroscopic traffic flow model is presented in this paper. This method makes use of variable substitution to transform a traditional traffic flow model into a new model which is suitable for the stability analysis. Although the substitution seems to be simple, it can extend the range of the variable to infinity and build a relationship between the traffic congestion and the unstable system in the phase plane. So the problem of traffic flow could be converted into that of system stability. The analysis identifies the types and stabilities of the equilibrium solutions of the new model and gives the overall distribution structure of the nearby equilibrium solutions in the phase plane. Then we deduce the existence conditions of the models Hopf bifurcation and saddle-node bifurcation and find some bifurcations such as Hopf bifurcation, saddle-node bifurcation, Limit Point bifurcation of cycles and Bogdanov–Takens bifurcation. Furthermore, the Hopf bifurcation and saddle-node bifurcation are selected as the starting point of density temporal evolution and it will be helpful for improving our understanding of stop-and-go wave and local cluster effects observed in the free-way traffic.

Suggested Citation

  • Wenhuan Ai & Zhongke Shi & Dawei Liu, 2015. "Bifurcation analysis method of nonlinear traffic phenomena," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(10), pages 1-16.
  • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:10:n:s0129183115501119
    DOI: 10.1142/S0129183115501119
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    Cited by:

    1. Wen Huan Ai & Ming Ming Wang & Da Wei Liu, 2023. "Analysis of macroscopic traffic flow model considering throttle dynamics," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(6), pages 1-18, June.

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