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A Revised Stochastic Optimal Velocity Model Considering The Velocity Gap With A Preceding Vehicle

Author

Listed:
  • KEIZO SHIGAKI

    (Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan)

  • JUN TANIMOTO

    (Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan)

  • AYA HAGISHIMA

    (Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan)

Abstract

The stochastic optimal velocity (SOV) model, which is a cellular automata model, has been widely used because of its good reproducibility of the fundamental diagram, despite its simplicity. However, it has a drawback: in SOV, a vehicle that is temporarily stopped takes a long time to restart. This study proposes a revised SOV model that suppresses this particular defect; the basic concept of this model is derived from the car-following model, which considers the velocity gap between a particular vehicle and the preceding vehicle. A series of simulations identifies the model parameters and clarifies that the proposed model can reproduce the three traffic phases: free, jam, and even synchronized phases, which cannot be achieved by the conventional SOV model.

Suggested Citation

  • Keizo Shigaki & Jun Tanimoto & Aya Hagishima, 2011. "A Revised Stochastic Optimal Velocity Model Considering The Velocity Gap With A Preceding Vehicle," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(09), pages 1005-1014.
  • Handle: RePEc:wsi:ijmpcx:v:22:y:2011:i:09:n:s0129183111016749
    DOI: 10.1142/S0129183111016749
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    Cited by:

    1. Qian, Wei-Liang & F. Siqueira, Adriano & F. Machado, Romuel & Lin, Kai & Grant, Ted W., 2017. "Dynamical capacity drop in a nonlinear stochastic traffic model," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 328-339.

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