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Impact of Penetrations of Connected and Automated Vehicles on Lane Utilization Ratio

Author

Listed:
  • Xiaoyuan Wang

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
    Collaborative Innovation Center for Intelligent Green Manufacturing Technology and Equipment of Shandong Province, Qingdao 266000, China)

  • Shijie Liu

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
    School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Huili Shi

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Hui Xiang

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Yang Zhang

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Guowen He

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Hanqing Wang

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

Abstract

Lane Utilization Ratio (LUR), affected by lane selection behavior directly, represents the traffic distribution on different lanes of road section for a single direction. The research on LUR, especially under Penetration Conditions of Connected and Automated Vehicles (PCCAV), is not comprehensive enough. Considering the difficulty in the conduction of real vehicle experiment and data collection under PPCAV, the lane selection model based on phase-field coupling and set pair logic, which considers the full-information of lanes, was used to carry out microscopic traffic simulation. From the analysis of microsimulation results, the basic relationships between Penetration of Connected and Automated Vehicles (PCAV), traffic volume, and Lane-Changing Times, also that between PCAV, traffic volume, and LUR in the basic section of the urban expressway were studied. Moreover, the influence of driving propensity on the effect of PCAVs was also studied. The research results could enrich the traffic flow theory and provide the theoretical basis for traffic management and control.

Suggested Citation

  • Xiaoyuan Wang & Shijie Liu & Huili Shi & Hui Xiang & Yang Zhang & Guowen He & Hanqing Wang, 2022. "Impact of Penetrations of Connected and Automated Vehicles on Lane Utilization Ratio," Sustainability, MDPI, vol. 14(1), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:474-:d:716453
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    Citations

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    Cited by:

    1. Shan Guan & Chicheng Ma & Jianjun Wang, 2023. "Traffic Flow State Analysis Considering Driver Response Time and V2V Communication Delay in Heterogeneous Traffic Environment," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    2. Pei, Yulong & Pan, Sheng & Wen, Yuhang, 2024. "Analysis of roadway capacity for heterogeneous traffic flows considering the degree of trust of drivers of HVs in CAVs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).

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