IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v199y2025ip3s0960077925009191.html

Congestion transition in intelligent driver model with fault-tolerant control to counter cyber-attacks during the lane-changing process under a connected autonomous vehicles platform

Author

Listed:
  • Tan, Huili
  • Sun, Yuanlong
  • Xia, Dongxue
  • Peng, Guanghan

Abstract

In a vehicle-to-everything (V2X) environment, cyber-attacks pose grave security risks to the lane-changing (LC) behaviors of connected automated vehicles (CAVs). To probe deeper into how cyber-attacks impact the LC behaviors of CAVs adhering to the Minimizing Overall Braking Induced by Lane Changes (MOBIL) model, we constructed a novel Intelligent Driver Model (IDM). This model integrates fault-tolerant control to effectively counteract cyber-attacks, including bogus message attacks and collusion attacks. Theoretical analysis reveals that the linear stability condition is intimately linked with cyber-attack vulnerabilities. Simulation results demonstrate that various cyber-attack types inflict pervasive disruption on both LC and car-following (CF) behaviors of CAVs. Crucially, fault-tolerant control significantly mitigates cyber-attack-induced variations in trajectory and speed. Furthermore, we employ two distinct safety evaluation criteria to rigorously assess the efficacy of fault-tolerant control in resisting cyber-attacks.

Suggested Citation

  • Tan, Huili & Sun, Yuanlong & Xia, Dongxue & Peng, Guanghan, 2025. "Congestion transition in intelligent driver model with fault-tolerant control to counter cyber-attacks during the lane-changing process under a connected autonomous vehicles platform," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    • Handle: RePEc:eee:chsofr:v:199:y:2025:i:p3:s0960077925009191
    DOI: 10.1016/j.chaos.2025.116906
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925009191
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2025.116906?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Jia, Dongyao & Ngoduy, Dong, 2016. "Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 172-191.
    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. Zhou, Zhi & Li, Linheng & Qu, Xu & Ran, Bin, 2024. "A self-adaptive IDM car-following strategy considering asymptotic stability and damping characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    4. Yao, Zhihong & Li, Le & Liao, Wenbin & Wang, Yi & Wu, Yunxia, 2024. "Optimal lane management policy for connected automated vehicles in mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    5. Hua, Xuedong & Yu, Weijie & Wang, Wei & Zhao, De, 2023. "Impact of multi-class stochastic cyberattacks on vehicle dynamics and rear-end collision risks for heterogeneous traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    6. 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).
    7. Peng, Guanghan & Luo, Chunli & Zhao, Hongzhuan & Tan, Huili, 2023. "Jamming transition in two-lane lattice model integrating the deception attacks on influx during the lane-changing process under vehicle to everything environment," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    8. Zhai, Cong & Zhang, Ronghui & Peng, Tao & Zhong, Changfu & Xu, Hongguo, 2023. "Heterogeneous lattice hydrodynamic model and jamming transition mixed with connected vehicles and human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    9. Xuhao Zhang & Min Zhao & Yicai Zhang & Dihua Sun & Linqi Li, 2022. "An improved car-following model based on multiple preceding vehicles under connected vehicles environment," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 33(05), pages 1-20, May.
    10. He, Jia & He, Zhengbing & Fan, Bo & Chen, Yanyan, 2020. "Optimal location of lane-changing warning point in a two-lane road considering different traffic flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    11. 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).
    12. Yunze Wang & Ranran Xu & Ke Zhang, 2022. "A Car-Following Model for Mixed Traffic Flows in Intelligent Connected Vehicle Environment Considering Driver Response Characteristics," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhai, Cong & Wu, Weitiao & Xiao, Yingping & Zhang, Jiyong & Zhai, Min & Wu, Yingzi, 2025. "A novel throttle-based self-stabilizing control scheme integrated into an anisotropic continuum model to mitigate cyber-attacks in connected vehicle scenarios," Chaos, Solitons & Fractals, Elsevier, vol. 201(P1).
    2. Wei, Liyang & Zhang, Weihua & Bai, Haijian & Ding, Heng & Chen, Xingyu & Ma, Xinxin, 2025. "LM-IDM: A novel multi-lane car-following model considering lateral merging in mixed traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 677(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peng, Guanghan & Liu, Yuangui & Tan, Huili & Xia, Dongxue & Zhou, Tong, 2025. "Phase transition in lattice hydrodynamic model integrating random anomalous information under connected autonomous vehicles surroundings," Chaos, Solitons & Fractals, Elsevier, vol. 201(P2).
    2. Tan, Huili & Sun, Yuanlong & Xia, Dongxue & Peng, Guanghan, 2025. "Jamming transition in intelligent driver model integrating fault-tolerant control to counteract cyber-attacks within cellular vehicle-to-everything environments," Chaos, Solitons & Fractals, Elsevier, vol. 201(P3).
    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).
    4. Zhang, Geng & Guo, Hai-Yan & Ren, Yue & Gan, Hao-Ting, 2025. "Stability and phase transition of a novel lattice hydrodynamic model considering different flux information coordination methods," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    5. Guan, Xueyi & Qin, Jin & Cheng, Rongjun & Wang, Ting, 2025. "Bifurcation and linear analysis of connected heterogeneous traffic flow model under cyberattacks," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    6. Zhou, Tong & Tian, Yudan & Zhu, Meilan & Peng, Guanghan, 2025. "Phase transitions and spectrum evaluation in mixed traffic model concerned with Interruption Probability Effect under CAVs and HDVs surroundings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 672(C).
    7. Zhai, Cong & Wu, Weitiao & Xiao, Yingping & Zhang, Jiyong & Zhai, Min & Wu, Yingzi, 2025. "A novel throttle-based self-stabilizing control scheme integrated into an anisotropic continuum model to mitigate cyber-attacks in connected vehicle scenarios," Chaos, Solitons & Fractals, Elsevier, vol. 201(P1).
    8. Yang, Shuhong & Xia, Dongxue & Liu, Yuangui & Peng, Guanghan, 2026. "Phase transition in heterogeneous traffic streams integrating current optimal flux difference under human-driven and connected autonomous vehicles scenario," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).
    9. Qiao, Yanfeng & Xue, Yu & Yao, Ronghan & Pan, Baofeng & Cen, Bingling & Zhang, Wengsong, 2025. "Feedback control of a heterogeneous lattice hydrodynamic model with multi-visual field effect under cyber-attacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
    10. Gu, Pei-Ni & Liang, Chen & Zhang, Geng & Pan, Dong-Bo, 2025. "Stability and nonlinear analyses for mixed traffic comprising human-driven vehicles and connected human-driven vehicles with different control strategies," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    11. Wu, Xinyu & Xiao, Xinping, 2024. "An improved stochastic car-following model considering the complete state information of multiple preceding vehicles under connected vehicles environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 644(C).
    12. Yadav, Darshana & Siwach, Vikash & Redhu, Poonam, 2025. "The interplay of passing, driver attention, and cyber attack-induced information delays on traffic stability," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    13. Zhou, Tong & Tian, Yudan & Zhu, Meilan & Peng, Guanghan & Huang, Darong, 2025. "Phase transitions in mixed traffic streams comprising HDVsand CAVs through the implementation of delayed control mechanisms to mitigate traffic jerk," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    14. Verma, Muskan & Gupta, Arvind Kumar & Sharma, Sapna, 2025. "Phase transitions in a multi-phase lattice hydrodynamic area occupancy model in mixed disorder traffic considering connected and human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
    15. Peng, Guanghan & Zhu, Meilan & Tan, Huili, 2024. "Jams and phase transitions in heterogeneous lattice model integrating the continuous delayed feedback control to boycott cyber-attacks under connected autonomous and human driven vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    16. Li, Xia & Pang, Xiaomin & Zhang, Song & You, Zhijian & Ma, Xinwei & Chuo, Eryong, 2024. "Car-following model based on artificial potential field with consideration of horizontal curvature in connected vehicles environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    17. 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).
    18. Peng, Guanghan & Huang, Yixin & Tan, Huili, 2024. "Phase transitions and congestion of heterogeneous lattice hydrodynamics model considering delayed difference feedback control in connected autonomous vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    19. Peng, Guanghan & Wang, Keke & Tan, Huili & Zhou, Tong, 2025. "Jamming transition in car-following model with electronic throttles incorporating continuous memory capabilities to mitigate cyber-attacks within a connected vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 198(C).
    20. Zhai, Cong & Wu, Weitiao & Xiao, Yingping & Zhang, Jiyong & Zhai, Min, 2025. "Jam traffic pattern of a multi-phase lattice hydrodynamic model integrating a continuous self-stabilizing control protocol to boycott the malicious cyber-attacks," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:199:y:2025:i:p3:s0960077925009191. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.