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Phase transitions in mixed traffic streams comprising HDVsand CAVs through the implementation of delayed control mechanisms to mitigate traffic jerk

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Listed:
  • Zhou, Tong
  • Tian, Yudan
  • Zhu, Meilan
  • Peng, Guanghan
  • Huang, Darong

Abstract

Due to pedestrian traffic and frequent lane changes, rapid acceleration and deceleration of vehicles often occur, resulting in the traffic jerk phenomenon. This issue is particularly pronounced in mixed fleets of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs), posing significant safety hazards. To address this, we propose a heterogeneous lattice model incorporating delayed control to mitigate traffic jerk in environments involving both CAVs and HDVs. Linear stability analysis reveals that traffic jerk adversely affects the stability of heterogeneous vehicles, whereas delayed control mitigates this negative impact. Additionally, nonlinear analysis is conducted to derive the equation related to delayed control aimed at countering traffic jerk. Finally, through simulations examining density, limit cycles, and spectral analysis in scenarios involving CAVs and HDVs, it is demonstrated that delayed control effectively resists the detrimental effects of traffic jerk on heterogeneous vehicles.

Suggested Citation

  • Zhou, Tong & Tian, Yudan & Zhu, Meilan & Peng, Guanghan & Huang, Darong, 2025. "Phase transitions in mixed traffic streams comprising HDVsand CAVs through the implementation of delayed control mechanisms to mitigate traffic jerk," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    • Handle: RePEc:eee:chsofr:v:199:y:2025:i:p1:s0960077925006927
    DOI: 10.1016/j.chaos.2025.116679
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    References listed on IDEAS

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    Cited by:

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    2. Nagatani, Takashi, 2025. "Microscopic and macroscopic traffic flows in chain network of multi-way intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).

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