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New feedback control strategy for optimal velocity traffic model

Author

Listed:
  • Wang, Tao
  • Zhang, Yuanshu
  • Zhang, Jing
  • Li, Zhen
  • Li, Shubin

Abstract

This paper aims to control the disturbed vehicle to move smoothly by a feedback signal in the optimal velocity model. Using the control signal of the variation rate of the optimal velocity, a new feedback control traffic flow model is proposed to explore the propagation mechanism of traffic flow oscillation. The linear stability condition is derived by using frequency-domain method, and the new control method is further verified by numerical simulation. Both the analytical analysis and numerical experiments show that this novel feedback mechanism can effectively suppress traffic congestion.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:559:y:2020:i:c:s0378437120305525
    DOI: 10.1016/j.physa.2020.125053
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    References listed on IDEAS

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    5. 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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