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Modelling multi-lane heterogeneous traffic flow with human-driven, automated, and communicating automated vehicles

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  • Vranken, Tim
  • Schreckenberg, Michael

Abstract

A new set of lane changing rules is introduced with that the model introduced in Vranken et al. (2021) is able to simulate multi lane heterogeneous traffic where human driven vehicles mix with automated or communicating automated vehicles. The model predicts that (communicating) automated vehicles will increase road capacity and traffic flow in all traffic situations more strongly than on one lane traffic even though they behave more passive while lane changing and following human driven vehicles. The main reason for this improvement was found to be the creation of automated vehicle platoons naturally organised by the system.

Suggested Citation

  • Vranken, Tim & Schreckenberg, Michael, 2022. "Modelling multi-lane heterogeneous traffic flow with human-driven, automated, and communicating automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    • Handle: RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008803
    DOI: 10.1016/j.physa.2021.126629
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    References listed on IDEAS

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    Cited by:

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    7. Jiang, Yangsheng & Cong, Hongwei & Wang, Yi & Wu, Yunxia & Li, Hongwu & Yao, Zhihong, 2023. "A new control strategy of CAVs platoon for mitigating traffic oscillation in a two-lane highway," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    8. Wenjing Tian & Jien Ma & Lin Qiu & Xiang Wang & Zhenzhi Lin & Chao Luo & Yao Li & Youtong Fang, 2023. "The Double Lanes Cell Transmission Model of Mixed Traffic Flow in Urban Intelligent Network," Energies, MDPI, vol. 16(7), pages 1-17, March.

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