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An improved car-following model considering electronic throttle dynamics and delayed velocity difference

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  • Li, Shihao
  • Cheng, Rongjun
  • Ge, Hongxia

Abstract

With consideration of the effect of the electronic throttle dynamics, an improved car-following model is constructed in this paper. In the new model, the control signals including the opening angle difference of electronic throttle and the delayed velocity difference are introduced. Moreover, for the sake of confirming the impact of the electronic throttle opening angle difference and the delayed velocity difference, the new model is discussed through theoretical analytical and numerical simulation methods. The conditions of the stability for the proposed model are obtained through control theory method. The results of numerical simulation experiments corroborate that the traffic system has greater stability when the control signals proposed are taken into account and it is benignant to integrate the dynamics of electronic throttle into the traffic flow model to enhance the stability of traffic system.

Suggested Citation

  • Li, Shihao & Cheng, Rongjun & Ge, Hongxia, 2020. "An improved car-following model considering electronic throttle dynamics and delayed velocity difference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    • Handle: RePEc:eee:phsmap:v:558:y:2020:i:c:s037843712030529x
    DOI: 10.1016/j.physa.2020.125015
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    References listed on IDEAS

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    2. Zhai, Cong & Li, Kening & Zhang, Ronghui & Peng, Tao & Zong, Changfu, 2024. "Phase diagram in multi-phase heterogeneous traffic flow model integrating the perceptual range difference under human-driven and connected vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    3. Jafaripournimchahi, Ammar & Cai, Yingfeng & Wang, Hai & Sun, Lu & Yang, Biao, 2022. "Stability analysis of delayed-feedback control effect in the continuum traffic flow of autonomous vehicles without V2I communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    4. Ammar Jafaripournimchahi & Yingfeng Cai & Hai Wang & Lu Sun, 2022. "Environmental Analyses of Delayed-Feedback Control Effects in Continuum-Traffic Flow of Autonomous Vehicles," Sustainability, MDPI, vol. 14(18), pages 1-18, September.

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