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Stability of heterogeneous traffic considering impacts of platoon management with multiple time delays

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  • Ruan, Tiancheng
  • Zhou, Linjie
  • Wang, Hao

Abstract

With the development of Connected Autonomous Vehicle (CAV), there will be a long-term heterogeneous traffic flow composed of Manual Vehicles (MVs) and CAVs on the road. Firstly, this study explores the traffic composition and distribution characteristics of heterogeneous traffic flow considering the limitation of communication range and CAV degradation. Secondly, we conduct a corresponding linear stability analysis for the heterogeneous traffic flow and introduce different types of time delays into the stability analysis framework. Thirdly, we verify theoretical derivation results through nonlinear numerical simulation. Finally, the influence of platoon management and time delays on the linear stability of heterogeneous traffic flow is explored. The results show that, at first, the stability of heterogeneous traffic flow deteriorates due to the involvement of CAV, and does not grow until the CAV market penetration rate reaches a certain threshold. In the speed range greater than 23.08 m/s, the heterogeneous traffic flow is constantly stable. Platoon management can significantly improve the linear stability of heterogeneous traffic flow with a high CAV market penetration rate, while time delays have a negative effect on the linear stability of heterogeneous traffic flow.

Suggested Citation

  • Ruan, Tiancheng & Zhou, Linjie & Wang, Hao, 2021. "Stability of heterogeneous traffic considering impacts of platoon management with multiple time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    • Handle: RePEc:eee:phsmap:v:583:y:2021:i:c:s0378437121005677
    DOI: 10.1016/j.physa.2021.126294
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    References listed on IDEAS

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    1. Yao, Zhihong & Xu, Taorang & Jiang, Yangsheng & Hu, Rong, 2021. "Linear stability analysis of heterogeneous traffic flow considering degradations of connected automated vehicles and reaction time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    2. Chang, Xin & Li, Haijian & Rong, Jian & Zhao, Xiaohua & Li, An’ran, 2020. "Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
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    Citations

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    Cited by:

    1. Li, Chao & Zhao, Xiaomei & Xie, Dongfan, 2022. "Steady-state performance and dynamic performance of heterogeneous platoons under a connected environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    2. Xu, Xinpeng & Tao, Hongfei & Wu, Weiguo & Liu, Song, 2023. "An instant discovery method for companion vehicles based on incremental and parallel calculation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    3. Zhang, Futao & Qian, Yongsheng & Zeng, Junwei & Xu, Dejie & Li, Haijun, 2023. "Stability and safety analysis of mixed traffic flow considering network function degradation and platoon driving on the road with a slope," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    4. 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).
    5. 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).

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