access icon free Clustered car-following strategy for improving car-following stability under Cooperative Vehicles Infrastructure Systems

In this study, the problem of car-following stability is considered. This study presents a clustered car-following strategy based on inter-vehicle communications (IVCs), which contributes to derive a more accurate feedback control for improving the stability. In order to maintain car-following stability, two conditions are considered, which are based on the control theory and a modified optimal velocity car-following model. In simulations, the results demonstrate that the strategy is effective on the stability of car-following, and the effect becomes more obvious as the market penetration rates of IVC-equipped vehicles increase. Even in low market penetration rate (5%), the proposed strategy has significant influence on the stability and the recovering time.

Inspec keywords: feedback; stability; road traffic control; cooperative systems

Other keywords: IVCs; car-following stability; cooperative vehicle infrastructure systems; inter-vehicle communications; clustered car-following strategy; modified optimal velocity car-following model; control theory; IVC-equipped vehicles; feedback control; market penetration rates

Subjects: Road-traffic system control; Stability in control theory

References

    1. 1)
      • 15. Davis, L.C.: ‘Effect of adaptive control systems on traffic flow’, Phys. Rev. E, 2004, 69, (066110), pp. 18.
    2. 2)
    3. 3)
      • 12. Ge, H.X., Cui, Y., Cheng, R.J.: ‘A car-following model with considering control signals from front and rear’, Acta Phys. Sin., 2014, 63, (11), pp. 110504:1–7.
    4. 4)
    5. 5)
      • 4. Tang, T.Q., Huang, H.J., Xu, G., et al: ‘A traffic follow model considering signal light influence and its numerical simulation’, Acta Phys. Sin., 2008, 57, pp. 5660.
    6. 6)
    7. 7)
    8. 8)
      • 23. Treiber, M., Kesting, A.: ‘Traffic flow dynamics’ (Springer-Verlag Press, Berlin Heidelberg), 2013.
    9. 9)
      • 3. Tang, T.Q., Huang, H.J., Shang, H.Y.: ‘Effect of the lane changing probability on the kinetic energy of traffic system’, Acta Phys. Sin., 2010, 59, pp. 60036008.
    10. 10)
      • 6. Sun, D.H., Zhou, T., Liu, W.N., et al: ‘A modified feedback controlled car-following model considering the comprehensive information of the nearest-neighbor leading car’, Acta Phys. Sin., 2013, 62, (17), pp. 170503:1–7.
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
      • 7. Ge, H.X., Cheng, R.J., Li, Z.P.: ‘Considering two-velocity difference effect for coupled map car-following model’, Acta Phys. Sin., 2011, 60, (8), pp. 080508:1–10.
    19. 19)
    20. 20)
      • 5. Peng, G.H., Sun, D.H., He, H.P.: ‘Two car-following model of traffic flow and numerical simulation’, Acta Phys. Sin., 2008, 57, pp. 75417546.
    21. 21)
    22. 22)
    23. 23)
      • 8. Peng, G.H.: ‘Stability analyzing of multiple look-head car-following model’, Syst. Eng. Theory Pract., 2011, 31, (3), pp. 569576.
    24. 24)
    25. 25)
      • 25. Han, X.L., Jiang, C.Y., Ge, H.X., et al: ‘A modified coupled map car-following model based on application of intelligent transportation system and control of traffic congestion’, Physica A, 2007, 56, pp. 43834392.
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