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Jamming transition in two-lane lattice model integrating the deception attacks on influx during the lane-changing process under vehicle to everything environment

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  • Peng, Guanghan
  • Luo, Chunli
  • Zhao, Hongzhuan
  • Tan, Huili

Abstract

In the information area of actual traffic, the deception attack can affect the lane-changing rate of influx during the lane-changing process on two lanes operating in a vehicle to everything environment. To counteract the deception attack, a novel lattice model integrating the driver anticipation effect (DAE) will be constructed based on the lane-changing influx rate caused by the deception attack on two lanes. The influence of the lane-changing rate of deceitful influx on traffic stability is investigated through theoretical analysis, and the corresponding modified Korteweg De Vries equation is derived. Using numerical simulation, the evolution of density waves and hysteresis loop phenomena caused by the lane-changing rate of deceitful influx are studied. Due to the rate at which deceitful influx changes lanes, the deception attack on influx will also have a significant impact on the energy consumption of the transportation system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:chsofr:v:176:y:2023:i:c:s0960077923010780
    DOI: 10.1016/j.chaos.2023.114176
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    as
    1. Li, Yongfu & Zhong, Zhenyu & Zhang, Kaibi & Zheng, Taixiong, 2019. "A car-following model for electric vehicle traffic flow based on optimal energy consumption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
    2. Yao, Zhihong & Wang, Yi & Liu, Bo & Zhao, Bin & Jiang, Yangsheng, 2021. "Fuel consumption and transportation emissions evaluation of mixed traffic flow with connected automated vehicles and human-driven vehicles on expressway," Energy, Elsevier, vol. 230(C).
    3. Nagatani, Takashi, 1998. "Modified KdV equation for jamming transition in the continuum models of traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 261(3), pages 599-607.
    4. Qian, Yongsheng & Da, Cheng & Zeng, Junwei & Wang, Xuexin & Zhang, Yongzhi & Xu, Dejie, 2022. "A bidirectional quasi-moving block cellular automaton model for single-track railways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    5. Junwei Zeng & Yongsheng Qian & Fan Yin & Leipeng Zhu & Dejie Xu, 2022. "A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate," Computational and Mathematical Organization Theory, Springer, vol. 28(2), pages 178-192, June.
    6. Guanghan Peng, 2013. "A New Lattice Model Of Two-Lane Traffic Flow With The Consideration Of Multi-Anticipation Effect," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(07), pages 1-13.
    7. Zeng, Junwei & Qian, Yongsheng & Li, Jiao & Zhang, Yongzhi & Xu, Dejie, 2023. "Congestion and energy consumption of heterogeneous traffic flow mixed with intelligent connected vehicles and platoons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    8. Zhang, Geng & Yin, Le & Pan, Dong-Bo & Zhang, Yu & Cui, Bo-Yuan & Jiang, Shan, 2020. "Research on multiple vehicles’ continuous self-delayed velocities on traffic flow with vehicle-to-vehicle communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    9. Sun, Fengxin & Chow, Andy H.F. & Lo, S.M. & Ge, Hongxia, 2018. "A two-lane lattice hydrodynamic model with heterogeneous lane changing rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 389-400.
    10. Redhu, Poonam & Siwach, Vikash, 2018. "An extended lattice model accounting for traffic jerk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1473-1480.
    11. Zhang, Yongliang & Smirnova, M.N. & Bogdanova, A.I. & Zhu, Zuojin & Smirnov, N.N., 2018. "Travel time estimation by urgent-gentle class traffic flow model," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 121-142.
    12. Wang, Tao & Zang, Rudong & Xu, Keyu & Zhang, Jing, 2019. "Analysis of predictive effect on lattice hydrodynamic traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    13. Verma, Muskan & Sharma, Sapna, 2022. "Chaotic jam and phase transitions in a lattice model with density dependent passing," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    14. Tang, Tie-Qiao & Li, Jin-Gang & Yang, Shi-Chun & Shang, Hua-Yan, 2015. "Effects of on-ramp on the fuel consumption of the vehicles on the main road under car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 293-300.
    15. Zhai, Cong & Wu, Weitiao & Xiao, Yingping, 2023. "The jamming transition of multi-lane lattice hydrodynamic model with passing effect," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    16. Hu, Zejing & Smirnova, M.N. & Zhang, Yongliang & Smirnov, N.N. & Zhu, Zuojin, 2021. "Estimation of travel time through a composite ring road by a viscoelastic traffic flow model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 501-521.
    17. Wang, Tao & Zhang, Yuanshu & Zhang, Jing & Li, Zhen & Li, Shubin, 2020. "New feedback control strategy for optimal velocity traffic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    18. Tang, Tie-Qiao & Huang, Hai-Jun & Shang, Hua-Yan, 2017. "An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 322-333.
    19. Li, Zhengming & Smirnova, M.N. & Zhang, Yongliang & Smirnov, N.N. & Zhu, Zuojin, 2022. "Tunnel speed limit effects on traffic flow explored with a three lane model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 185-197.
    20. Zhongmin Huang & M. N. Smirnova & Jiarui Bi & N. N. Smirnov & Zuojin Zhu, 2023. "Analyzing roadway work zone effects on vehicular flow in a freeway ring," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-19, April.
    21. Wang, Tao & Li, Guangyao & Zhang, Jing & Li, Shubin & Sun, Tao, 2019. "The effect of Headway Variation Tendency on traffic flow: Modeling and stabilization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 566-575.
    22. Zhang, Geng & Zhang, Yu & Pan, Dong-Bo & Huang, Ren-Jie, 2019. "Study on the continuous delayed optimal flow on traffic stability in a new macro traffic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    23. Redhu, Poonam & Gupta, Arvind Kumar, 2016. "Effect of forward looking sites on a multi-phase lattice hydrodynamic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 150-160.
    24. Nagatani, Takashi, 1999. "Jamming transitions and the modified Korteweg–de Vries equation in a two-lane traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 265(1), pages 297-310.
    25. Zhang, Jiahe & Qian, Yongsheng & Zeng, Junwei & Wei, Xuting & Li, Haijun, 2023. "Hybrid characteristics of heterogeneous traffic flow mixed with electric vehicles considering the amplitude of acceleration and deceleration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
    26. Sharma, Sapna, 2015. "Lattice hydrodynamic modeling of two-lane traffic flow with timid and aggressive driving behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 401-411.
    27. Zhu, Wen-Xing & Zhang, H.M., 2018. "Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 274-285.
    28. Xueyi Qin & Yongsheng Qian & Junwei Zeng & Xuting Wei, 2022. "Accessibility and Economic Connections between Cities of the New Western Land–Sea Corridor in China—Enlightenments to the Passageway Strategy of Gansu Province," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    29. Zhu, Wen-Xing & Zhang, Jing-Yu, 2017. "An original traffic additional emission model and numerical simulation on a signalized road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 107-119.
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    5. Muskan Verma & Arvind Kumar Gupta & Sapna Sharma, 2024. "Traffic flow dynamics and oscillation control in conserved fractal networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(10), pages 1-12, October.
    6. 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).
    7. Peng, Guanghan & Luo, Chunli & Zhao, Hongzhuan & Tan, Huili, 2024. "Phase transitions of dual-lane lattice model incorporating cyber-attacks on lane change involving inflow and outflow under connected vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    8. Peng, Guanghan & Li, Xinhai & Wang, Hailing & Tan, Huili, 2024. "Bifurcation and phase transitions in car-following model integrating driver's characteristic and speed limit on spiral slope roads," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).

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