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Jamming transition in car-following model with electronic throttles incorporating continuous memory capabilities to mitigate cyber-attacks within a connected vehicles environment

Author

Listed:
  • Peng, Guanghan
  • Wang, Keke
  • Tan, Huili
  • Zhou, Tong

Abstract

To address the issue of information security, we introduce a novel car-following model with electronic throttle functionalities that integrates continuous memory to mitigate cyber-attacks within a context of connected vehicles. This model is analyzed in two scenarios including suddenly stopping once and four times of the leading car at following two cases: Case 1, where connected vehicles operate normally with delayed feedback in the absence of cyber-attacks; and Case 2, where compensation information incorporating continuous memory is activated to mitigate the adverse effects of cyber-attacks on connected vehicles. Additionally, we explore the impact of cyber-attacks on traffic stability through control theory, determining the appropriate parameter ranges. Simulation results demonstrate that the proposed model effectively counteracts traffic degradation in environments subject to cyber-attacks.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:chsofr:v:198:y:2025:i:c:s0960077925006423
    DOI: 10.1016/j.chaos.2025.116629
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