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Pinning control strategy and stability analysis of mixed platoon: A cyber–physical perspective

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  • Liu, Zhongcheng
  • Sun, Dihua
  • Zhao, Min
  • Jin, Shuang
  • Zhang, Yicai

Abstract

Control of mixed traffic, consisting of manual driving vehicles and automated driving vehicles, remains a major challenge. In this paper, a novel pinning control strategy for mixed platoon to achieve indirect control of manual driving vehicles is proposed. Besides the control algorithm of pinning nodes, the impact of the spatial distribution of automated driving vehicles on traffic is studied. The approach is compatible with the existing control of automated driving vehicles in mixed vehicle platoon. Numerical simulation results illustrated the effectiveness of the proposed pinning control strategy.

Suggested Citation

  • Liu, Zhongcheng & Sun, Dihua & Zhao, Min & Jin, Shuang & Zhang, Yicai, 2022. "Pinning control strategy and stability analysis of mixed platoon: A cyber–physical perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    • Handle: RePEc:eee:phsmap:v:594:y:2022:i:c:s0378437122001108
    DOI: 10.1016/j.physa.2022.127049
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    References listed on IDEAS

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    5. Jin, Shuang & Sun, Di-Hua & Zhao, Min & Li, Yang & Chen, Jin, 2020. "Modeling and stability analysis of mixed traffic with conventional and connected automated vehicles from cyber physical perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
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