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An Improved Cellular Automaton Traffic Model Based on STCA Model Considering Variable Direction Lanes in I-VICS

Author

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  • Ziwen Song

    (Jiangsu key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huaian 223003, China
    School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Feng Sun

    (Jiangsu key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huaian 223003, China
    School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Rongji Zhang

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Yingcui Du

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Guiliang Zhou

    (Jiangsu key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huaian 223003, China)

Abstract

In this paper, we propose an improved cellular automaton model for the traffic operation characteristics of variable direction lanes in an Intelligent Vehicle Infrastructure Cooperation System (I-VICS). According to the proposed flow of variable oriented lane operation in the I-VICS environment, the idea for the improved model has been determined. According to an analysis of different signal states, an improved STCA model is proposed, in combination with the speed induction method of I-VICS and the variable direction lane switching strategy. In the assumed regular simulation environment, the STCA and STCA-V models are simulated under different vehicular densities. The results indicated that traffic parameters such as traffic flow and average speed of the variable direction lanes in the I-VICS environment are better than those in the conventional environment according to the operating rules of the proposed model. Moreover, lane utilization increased for the same density.

Suggested Citation

  • Ziwen Song & Feng Sun & Rongji Zhang & Yingcui Du & Guiliang Zhou, 2021. "An Improved Cellular Automaton Traffic Model Based on STCA Model Considering Variable Direction Lanes in I-VICS," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13626-:d:698842
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    References listed on IDEAS

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