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Potential field-based cooperative adaptive cruising control for longitudinal following and lane changing of vehicle platooning

Author

Listed:
  • Zhang, Zhentao
  • Li, Xueyun
  • Su, Chuqi
  • Liu, Xun
  • Xiong, Xin
  • Xiao, Tianqi
  • Wang, Yiping

Abstract

Vehicle platooning often needs to execute lateral lane changing on highways while maintaining longitudinal following. This simultaneous lateral and longitudinal movement presents a significant challenge to maintaining the stability of vehicle platooning. To address the issue of stability during longitudinal following and lane changing, a control method based on the artificial potential field (APF) is proposed. The controller combines the obstacle potential field with the target gravitational potential field to guide the follower vehicle. The virtual trailing vehicle is added to enhance the convergence of the following error in the platooning. In the two-dimensional plane, the lateral error is redefined through the implementation of a look-ahead control concept. The proposed controller was tested under New European Driving Cycle (NEDC) working conditions, a traffic flow oscillation experiment, and a double lane changing test. The results demonstrate that the controller is capable of ensuring string stability and achieving an exceptional following effect.

Suggested Citation

  • Zhang, Zhentao & Li, Xueyun & Su, Chuqi & Liu, Xun & Xiong, Xin & Xiao, Tianqi & Wang, Yiping, 2023. "Potential field-based cooperative adaptive cruising control for longitudinal following and lane changing of vehicle platooning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
  • Handle: RePEc:eee:phsmap:v:632:y:2023:i:p1:s0378437123008725
    DOI: 10.1016/j.physa.2023.129317
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    References listed on IDEAS

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    1. Dai, Yulu & Yang, Yuwei & Wang, Zhiyuan & Luo, YinJie, 2022. "Exploring the impact of damping on Connected and Autonomous Vehicle platoon safety with CACC," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    2. Huang, Zichao & Wu, Qing & Ma, Jie & Fan, Shiqi, 2016. "An APF and MPC combined collaborative driving controller using vehicular communication technologies," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 232-242.
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    4. Jiang, Yangsheng & Wang, Sichen & Yao, Zhihong & Zhao, Bin & Wang, Yi, 2021. "A cellular automata model for mixed traffic flow considering the driving behavior of connected automated vehicle platoons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
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