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Modeling and stabilization control for heterogeneous traffic flow model considering cyberattacks

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Listed:
  • Ge, Hongxia
  • Lin, Lizhen
  • Cheng, Rongjun

Abstract

With the popularity of computer internet technology in transportation, connected automated vehicles (CAVs) maintain the traffic flow stability by sharing real-time driving information. However, the open-access environment makes CAVs vulnerable to attacks. Hackers transmit erroneous driving information to drivers, which lead to changes in their driving behavior and cause potential traffic hazards. Based on the summary of existing essays, this paper classifies cyberattacks into three types: false messages, repeat/delay and collusion attack. In addition, mixed flow is a common form of traffic. This paper proposed an extended heterogeneous traffic flow model considering cyberattacks, judgments the stability of the CAVs platoon and designs the controller for stability control. Subsequently, the stability of the new model is analyzed theoretically, and the stability condition of the new model is obtained. The simulation results show that the when CAVs platoon attacked by uncertain types and locations, it can still maintain the stability of the team and reduce the time for the team to return to equilibrium.

Suggested Citation

  • Ge, Hongxia & Lin, Lizhen & Cheng, Rongjun, 2023. "Modeling and stabilization control for heterogeneous traffic flow model considering cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    • Handle: RePEc:eee:phsmap:v:622:y:2023:i:c:s0378437123003540
    DOI: 10.1016/j.physa.2023.128799
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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. Jin, Yanfei & Xu, Meng, 2016. "Stability analysis in a car-following model with reaction-time delay and delayed feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 107-116.
    3. Liu, Lan & Zhu, Liling & Yang, Da, 2016. "Modeling and simulation of the car-truck heterogeneous traffic flow based on a nonlinear car-following model," Applied Mathematics and Computation, Elsevier, vol. 273(C), pages 706-717.
    4. Cheng, Rongjun & Lyu, Hao & Zheng, Yaxing & Ge, Hongxia, 2022. "Modeling and stability analysis of cyberattack effects on heterogeneous intelligent traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    5. Yu, Shaowei & Zhao, Xiangmo & Xu, Zhigang & Shi, Zhongke, 2016. "An improved car-following model considering the immediately ahead car’s velocity difference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 446-455.
    6. Yang, Da & Jin, Peter (Jing) & Pu, Yun & Ran, Bin, 2014. "Stability analysis of the mixed traffic flow of cars and trucks using heterogeneous optimal velocity car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 371-383.
    7. G. F. Newell, 1961. "Nonlinear Effects in the Dynamics of Car Following," Operations Research, INFORMS, vol. 9(2), pages 209-229, April.
    8. Wang, Pengcheng & Yu, Guizhen & Wu, Xinkai & Qin, Hongmao & Wang, Yunpeng, 2018. "An extended car-following model to describe connected traffic dynamics under cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 351-370.
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    Cited by:

    1. Lou, Haoli & Lyu, Hao & Cheng, Rongjun, 2024. "A time-varying driving style oriented model predictive control for smoothing mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    2. Cheng, Rongjun & Ji, Qun & Zheng, Yuchen & Ge, Hongxia, 2023. "Analysis of the impact of cyberattacks on the lane changing behavior of connected automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    3. Yadav, Sunita & Redhu, Poonam, 2024. "Impact of driving prediction on headway and velocity in car-following model under V2X environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

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