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The Effects Of Offsetting And Wedging Cell Lattices In The On-Ramp System

Author

Listed:
  • WEI HUA

    (Transportation and Economics Research Institute, China Academy of Railway Sciences, Beijing 100081, China)

  • FENG-YAN ZHOU

    (China Institute of Industrial Relations, Beijing 100037, China)

  • JIAN-HUA CHEN

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

Abstract

On-ramp is generally regarded as one of the key bottlenecks along the highway. In the present paper, three different merging relationships between on-ramp and main lane are analyzed and presented. The first case parallels each cellular position of accelerating lane to that of main lane. In the second case, each cell of accelerating lane keeps half cell ahead. The third case wedges each cell of accelerating lane into cells of main lane from 1/4 overlap to all. Based on a cellular automaton model, the simulations have been done to demonstrate how vehicles from on-ramp affect the traffic flow moving on main road under the above three different cases. The results show that driver behavior under the third case is closer to the real traffic situation in China, where an on-ramp car finds it hard to merge into main lane with the same velocity. All three phase diagrams show the complex phase transitions, but this reflects the degree of the stochastic nature of traffic flow in reality.

Suggested Citation

  • Wei Hua & Feng-Yan Zhou & Jian-Hua Chen, 2009. "The Effects Of Offsetting And Wedging Cell Lattices In The On-Ramp System," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1039-1047.
    • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:07:n:s0129183109014175
    DOI: 10.1142/S0129183109014175
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    Cited by:

    1. Hua, Wei & Yue, Yixiang & Wei, Zhenlin & Chen, Jianhua & Wang, Wenrong, 2020. "A cellular automata traffic flow model with spatial variation in the cell width," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).

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