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Impact of lane changing on adjacent vehicles considering multi-vehicle interaction in mixed traffic flow: A velocity estimating model

Author

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  • Ma, Yanli
  • Lv, Zhiliang
  • Zhang, Peng
  • Chan, Ching-Yao

Abstract

To quantitatively analyse the influence of lane changing vehicles on the speed of adjacent vehicles during the lane changing process, this paper designed a fleet lane changing experiment based on P3-DT Beidou high-precision positioning and direction finding receiver. The concept of cellular vehicle neighbourhood is proposed to quantitatively describe the influence of vehicle spacing on vehicle speed. A study into the speed changing model of adjacent vehicles during lane changing is performed. A simulation program is developed, and simulation results are compared with the measured data. The goodness of fit of the velocity change extent of adjacent vehicles in the target lane is over 80%, which validates the velocity estimating model. This model can provide a theoretical basis for research and development in the interactive simulation of multiple vehicles and automatic driving technology in mixed traffic flow.

Suggested Citation

  • Ma, Yanli & Lv, Zhiliang & Zhang, Peng & Chan, Ching-Yao, 2021. "Impact of lane changing on adjacent vehicles considering multi-vehicle interaction in mixed traffic flow: A velocity estimating model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    • Handle: RePEc:eee:phsmap:v:566:y:2021:i:c:s037843712030875x
    DOI: 10.1016/j.physa.2020.125577
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    References listed on IDEAS

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    1. Ma, Yanli & Zhang, Peng & Hu, Baoyu, 2019. "Active lane-changing model of vehicle in B-type weaving region based on potential energy field theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Gipps, P. G., 1986. "A model for the structure of lane-changing decisions," Transportation Research Part B: Methodological, Elsevier, vol. 20(5), pages 403-414, October.
    3. Zheng, Zuduo, 2014. "Recent developments and research needs in modeling lane changing," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 16-32.
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    Cited by:

    1. Kou, Yukang & Ma, Changxi, 2023. "Dual-objective intelligent vehicle lane changing trajectory planning based on polynomial optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 617(C).

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