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Traffic Flow At A Signal Controlled T-Shaped Intersection

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  • ZHONG-JUN DING

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China;
    Complex System Research Center, University of Shanghai for Science, and Technology and Shanghai Academy of System Science, Shanghai 200093, P. R. China)

  • XIAO-YAN SUN

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China;
    Complex System Research Center, University of Shanghai for Science, and Technology and Shanghai Academy of System Science, Shanghai 200093, P. R. China)

  • RUN-RAN LIU

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China;
    Complex System Research Center, University of Shanghai for Science, and Technology and Shanghai Academy of System Science, Shanghai 200093, P. R. China)

  • QIAO-MING WANG

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China;
    Complex System Research Center, University of Shanghai for Science, and Technology and Shanghai Academy of System Science, Shanghai 200093, P. R. China)

  • BING-HONG WANG

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China;
    Complex System Research Center, University of Shanghai for Science, and Technology and Shanghai Academy of System Science, Shanghai 200093, P. R. China)

Abstract

In this paper, traffic flow at a signal controlled T-shaped intersection with three input roads is investigated by using the cellular automata model. When each road is a double lane, the model only exists in three conflict points among three directions of flows. We introduce three-phase traffic signal and two types of signal controlling strategies, i.e. fixed signal phase order as well as adaptive signal phase order strategy, to control the traffic flow at the intersection. The phase diagram, the capacity and the average travel time of the system are investigated and compared under both strategies. The simulation results show that the traffic adaptive signal strategy is better than the fixed signal phase order strategy.

Suggested Citation

  • Zhong-Jun Ding & Xiao-Yan Sun & Run-Ran Liu & Qiao-Ming Wang & Bing-Hong Wang, 2010. "Traffic Flow At A Signal Controlled T-Shaped Intersection," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 443-455.
    • Handle: RePEc:wsi:ijmpcx:v:21:y:2010:i:03:n:s012918311001521x
    DOI: 10.1142/S012918311001521X
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    References listed on IDEAS

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    1. Tél, Tamás & Vollmer, Jürgen & Mátyás, László, 2003. "Comments on the paper ‘Particles, maps and irreversible thermodynamics’ by E.G.D. Cohen, L. Rondoni, Physica A 306 (2002) 117," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 323-326.
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    Cited by:

    1. Fan, Hongqiang & Jia, Bin & Tian, Junfang & Yun, Lifen, 2014. "Characteristics of traffic flow at a non-signalized intersection in the framework of game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 172-180.

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