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Cellular automata-based modeling and simulation of the mixed traffic flow of vehicle platoon and normal vehicles

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  • Zhu, Liling
  • Tang, Yandong
  • Yang, Da

Abstract

The development of autonomous driving technology and communication technology has made it possible for the realization of vehicle platoon. In the future, for a long time, there will be a mixture of platoons and normal vehicles on the road. The platoon will have a greater impact on traffic flow. Therefore, it is necessary to study the characteristics of the traffic mixed by platoons and normal vehicles. In this paper, we propose a traffic flow model for the traffic mixed by platoons and normal vehicles based on cellular automata and analyze the influence of platoon market penetration and platoon size on the road capacity, traffic congestion, and lane change frequency. The paper draws the following main conclusions. Under a given traffic environment, there is an optimal platoon penetration and platoon size that can maximize the capacity. Platoons can effectively alleviate traffic congestion, while the congestion ratio approaches zero when the proportion and size of the platoon reach a certain threshold. When the platoon market penetration is below 40%, the lane change frequency of the platoon gradually increases with the increment of the platoon penetration and size, while the platoon penetration is above 60%, the lane change frequency of the platoon decreases with that. When the platoon size is large enough, the lane change frequency will reduce to zero.

Suggested Citation

  • Zhu, Liling & Tang, Yandong & Yang, Da, 2021. "Cellular automata-based modeling and simulation of the mixed traffic flow of vehicle platoon and normal vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    • Handle: RePEc:eee:phsmap:v:584:y:2021:i:c:s0378437121006415
    DOI: 10.1016/j.physa.2021.126368
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    References listed on IDEAS

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    Cited by:

    1. Wang, Zhengwu & Chen, Tao & Wang, Yi & Li, Hao, 2024. "A cellular automaton model for mixed traffic flow considering the size of CAV platoon," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    2. Jiang, Yangsheng & Ren, Tingting & Ma, Yuqin & Wu, Yunxia & Yao, Zhihong, 2023. "Traffic safety evaluation of mixed traffic flow considering the maximum platoon size of connected automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    3. Li, Linheng & Wang, Can & Zhang, Ying & Qu, Xu & Li, Rui & Chen, Zhijun & Ran, Bin, 2022. "Microscopic state evolution model of mixed traffic flow based on potential field theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    4. Guo, Mengting & Bai, Yang & Li, Xia & Zhou, Wei & Wang, Chunyang & Ma, Xinwei & Gao, Huixin & Xiao, Yuewen, 2023. "Freeway capacity modeling and analysis for traffic mixed with human-driven and connected automated vehicles considering driver behavior characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    5. Wang, Tianshi & Lu, Huapu & Sun, Zhiyuan & Wang, Jianyu, 2023. "Towards higher efficiency and less consumption: Control Strategy and Simulation for CAV platooning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    6. Sun, Baofeng & Ma, Guodong & Song, Jia & Cheng, Zeyang & Wang, Wei, 2023. "Driving safety field modeling focused on heterogeneous traffic flows and cooperative control strategy in highway merging zone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    7. Li, Haijian & Zhang, Junjie & Sun, Xiaoliang & Niu, Jun & Zhao, Xiaohua, 2022. "A survey of vehicle group behaviors simulation under a connected vehicle environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    8. Wang, Zhangu & Guan, Changming & Zhao, Ziliang & Zhao, Jun & Qi, Chen & Hui, Zilaing, 2024. "Expressway lane change strategy of autonomous driving based on prior knowledge and data-driven," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).
    9. Hossein Samadi & Iman Aghayan & Khaled Shaaban & Farhad Hadadi, 2023. "Development of Performance Measurement Models for Two-Lane Roads under Vehicular Platooning Using Conjugate Bayesian Analysis," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    10. Li, Xia & Xiao, Yuewen & Zhao, Xiaodong & Ma, Xinwei & Wang, Xintong, 2023. "Modeling mixed traffic flows of human-driving vehicles and connected and autonomous vehicles considering human drivers’ cognitive characteristics and driving behavior interaction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    11. 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).
    12. He, Z.C. & Kang, H. & Li, Eric & Zhou, E.L. & Cheng, H.T. & Huang, Y.Y., 2022. "Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).

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