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Modeling non-equilibrium mixed traffic flow in composite road environments with “End-Edge-Cloud” structure

Author

Listed:
  • Wang, Zihao
  • Ge, Hongxia
  • Dai, Pingping
  • Liu, Huaqing

Abstract

This paper establishes a mixed traffic flow car-following model that describes the operation of non-equilibrium mixed platoon in the composite road environment, to solve the problem of insufficient adaptability of the existing mixed traffic flow models due to the composite road environment consisting of straight and curved roads. First, the non-equilibrium distribution of vehicles in the longitudinal and lateral directions of the road is used to study the characteristics of non-equilibrium mixed traffic flow. An asymmetric stochastic car-following model is built to represent the stochastic factors and the acceleration and braking behaviors of vehicles in the actual highway environment, in conjunction with the electronic throttle dynamics. Secondly, based on the force analysis and the car-following characteristics of vehicles on a slope curve, a mixed traffic flow car-following model adapted to the road conditions of the curve is constructed. Finally, an overall model describing the operation of non-equilibrium mixed vehicles in composite road environments is established through the “End-Edge-Cloud” architecture. Numerical experiments also compare and evaluate the effects of different road characteristics and key factors on the stability of mixed traffic flow. Through comparative analysis, it can be found that on straight roads, the mixed platoon needs to resist external perturbations, and then accurately track the desired headway in order to improve the traffic efficiency. On curved roads, the mixed platoon needs to maintain a stable desired speed to ensure safe and efficient passage through the curved road section.

Suggested Citation

  • Wang, Zihao & Ge, Hongxia & Dai, Pingping & Liu, Huaqing, 2025. "Modeling non-equilibrium mixed traffic flow in composite road environments with “End-Edge-Cloud” structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
    • Handle: RePEc:eee:phsmap:v:658:y:2025:i:c:s0378437124007726
    DOI: 10.1016/j.physa.2024.130263
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    References listed on IDEAS

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    1. 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).
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    Cited by:

    1. Wang, Zihao & Zhu, Wenxing & Ge, Hongxia, 2025. "Energy-saving optimization in mixed traffic flow using a dual-loop cascade control framework with predictive coordination," Energy, Elsevier, vol. 333(C).

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