Modeling of cooperative adaptive cruise control vehicle and its effect on traffic flow

Jianzhong Chen, Yang Zhou, Jing Li, Huan Liang, Zekai Lv and Yanmei Hu
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Jianzhong Chen: School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P. R. China
Yang Zhou: School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P. R. China
Jing Li: School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P. R. China
Huan Liang: School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P. R. China
Zekai Lv: School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P. R. China
Yanmei Hu: ��School of Science, Chang’an University, Xi’an, Shaanxi 710064, P. R. China

International Journal of Modern Physics C (IJMPC), 2022, vol. 33, issue 02, 1-18

Abstract: In this paper, an improved multianticipative cooperative adaptive cruise control (CACC) model is proposed based on fully utilizing multivehicle information obtained by vehicle-to-vehicle communication. More flexible, effective and practical spacing strategy is embedded into the model. We design a new lane-changing rule for CACC vehicles on the freeway. The rule considers that CACC vehicles are more inclined to form a platoon for coordinated control. Furthermore, we investigate the effect of CACC vehicles on two-lane traffic flow. The results demonstrate that introducing CACC vehicles into mixed traffic and forming CACC platoon to cooperative control can improve traffic efficiency and enhance road capacity to a certain extent.

Keywords: Cooperative adaptive cruise control; mixed traffic flow; lane change rule; spacing strategy (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S012918312250022X

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