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A continuum model with traffic interruption probability and electronic throttle opening angle effect under connected vehicle environment

Author

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  • Cong Zhai

    (School of Transportation and Civil Engineering and Architecture, Foshan University
    School of Civil Engineering and Transportation, South China University of Technology)

  • Weitiao Wu

    (School of Civil Engineering and Transportation, South China University of Technology)

Abstract

The electronic throttle system is the key component of the intelligent control system of connected and automated vehicles (CAVs). Although CAVs are expected to be commercialized in the near future, in practice the disturbances and interruptions are not uncommon along the road. In this paper, we propose a new continuum model considering the traffic interruption probability and the electronic throttle opening angle effect. Based on the linear stability analysis, the stability condition of the proposed model is obtained. The KdV-Burgers equation of the new continuum model is further obtained in the nonlinear analysis. The density solution obtained by solving the above equation can be used to describe the evolution characteristics of traffic flow near the neutral stability curve. Results show that the traffic interruption probability and the electronic throttle opening angle effect has a considerable impact on the stability of traffic flow. Graphical abstract

Suggested Citation

  • Cong Zhai & Weitiao Wu, 2020. "A continuum model with traffic interruption probability and electronic throttle opening angle effect under connected vehicle environment," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(3), pages 1-12, March.
  • Handle: RePEc:spr:eurphb:v:93:y:2020:i:3:d:10.1140_epjb_e2020-100492-6
    DOI: 10.1140/epjb/e2020-100492-6
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    Cited by:

    1. Zhai, Cong & Wu, Weitiao, 2022. "A continuum model considering the uncertain velocity of preceding vehicles on gradient highways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    2. 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).
    3. 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.
    4. Zhai, Cong & Wu, Weitiao, 2021. "A continuous traffic flow model considering predictive headway variation and preceding vehicle’s taillight effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).

    More about this item

    Keywords

    Statistical and Nonlinear Physics;

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