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An Adaptive Ebca Model Probing The Problem Of Riding Against The Traffic Flow

Author

Listed:
  • TAO WANG

    (School of Computer Science, Sichuan University, Chengdu 610064, China)

  • JUN-FENG WANG

    (School of Computer Science, Sichuan University, Chengdu 610064, China)

Abstract

Despite the rule that cyclists must ride on the right half of the road is written into the state vehicle code, the phenomenon of riding against the bicycle flow is still serious. To investigate the effect of bicycles going in the wrong direction, a Bi-Directional Adaptive EBCA model is developed in this paper. The phase transition F-J as well as the phase transition F-S-F are suggested by observing the spatial-temporal pattern. The deterministic case that the linear relationship between the average flow rate and the bicycle number disappears when the average density exceeds a particular value is shown. Under the stochastic case, the impacts of the avoiding probabilityPsand the returning probabilityPron the traffic system are analyzed. The results of the simulation are in good agreement with the realistic bicycle flow.

Suggested Citation

  • Tao Wang & Jun-Feng Wang, 2011. "An Adaptive Ebca Model Probing The Problem Of Riding Against The Traffic Flow," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 191-208.
    • Handle: RePEc:wsi:ijmpcx:v:22:y:2011:i:02:n:s0129183111016178
    DOI: 10.1142/S0129183111016178
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