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Bifurcation analysis for a novel heterogeneous continuum model considering electronic throttle angle changes with memory

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  • Ren, Weilin
  • Cheng, Rongjun
  • Ge, Hongxia

Abstract

Heterogeneous traffic flow model such as mixes of trucks and cars or connected and regular vehicles is a central issue in traffic flow modeling. However, few researches focus on the bifurcation phenomena of heterogeneous traffic flow. Due to this point, a novel heterogeneous continuum model accounting for different ratios of multiple optimal velocity functions is proposed, in which electronic throttle angle changes with memory is also considered. A simple formula for the linear stability criterion of this improved model is theoretically deduced, and the Korteweg-de Vries-Burgers (KdV-Burgers) equation is derived to discuss the characteristics of density evolution through nonlinear analysis method. The conditions and stability of the Hopf bifurcation for the modified model are then proved minutely. Numerical simulations are executed to investigate how multiple maximum velocities, multiple safety spacings and electronic throttle angle changes with memory affect the density fluctuations, in which numerical experiments on fuel consumptions and emissions are also included. To address the problems mentioned above, we set the Hopf bifurcation as the initial point of the heterogeneous continuum traffic flow to analyze the evolution of bifurcation behavior in the heterogeneous traffic flow.

Suggested Citation

  • Ren, Weilin & Cheng, Rongjun & Ge, Hongxia, 2021. "Bifurcation analysis for a novel heterogeneous continuum model considering electronic throttle angle changes with memory," Applied Mathematics and Computation, Elsevier, vol. 401(C).
  • Handle: RePEc:eee:apmaco:v:401:y:2021:i:c:s0096300321001272
    DOI: 10.1016/j.amc.2021.126079
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    References listed on IDEAS

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    Cited by:

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    2. Lixia Duan & Shuangshuang Fan & Danyang Liu & Zhonghe He, 2022. "Two-parameter bifurcation and energy consumption analysis of the macro traffic flow model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(12), pages 1-12, December.
    3. Yifan Pan & Yongjiang Wang & Baobin Miao & Rongjun Cheng, 2022. "Stabilization Strategy of a Novel Car-Following Model with Time Delay and Memory Effect of the Driver," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    4. Zhai, Cong & Wu, Weitiao, 2022. "A continuum model considering the uncertain velocity of preceding vehicles on gradient highways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    5. Kun Zhang & Yu Xue & Hao-Jie Luo & Qiang Zhang & Yuan Tang & Bing-Ling Cen, 2023. "Cyber-attacks on the optimal velocity and its variation by bifurcation analyses," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(12), pages 1-19, December.
    6. Jafaripournimchahi, Ammar & Cai, Yingfeng & Wang, Hai & Sun, Lu & Yang, Biao, 2022. "Stability analysis of delayed-feedback control effect in the continuum traffic flow of autonomous vehicles without V2I communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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