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Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network

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  • Shu-bin Li
  • Bai-bai Fu
  • Jian-feng Zheng

Abstract

Many traffic problems in China such as traffic jams and air pollutions are mainly caused by the increasing traffic volume. In order to alleviate the traffic congestion and improve the network performance, the analysis of traffic state and congestion propagation has attracted a great interest. In this paper, an improved mesoscopic traffic flow model is proposed to capture the speed-density relationship on segments, the length of queue, the flow on links, and so forth, The self-developed dynamic traffic simulation software (DynaCHINA) is used to reproduce the traffic congestion and propagation in a bidirectional grid network for different demand levels. The simulation results show that the proposed model and method are capable of capturing the real traffic states. Hence, our results can provide decision supports for the urban traffic management and planning.

Suggested Citation

  • Shu-bin Li & Bai-bai Fu & Jian-feng Zheng, 2013. "Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-7, November.
    • Handle: RePEc:hin:jnddns:165086
    DOI: 10.1155/2013/165086
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    References listed on IDEAS

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    Cited by:

    1. Guo, Yajuan & Yang, Licai & Hao, Shenxue & Gao, Jun, 2019. "Dynamic identification of urban traffic congestion warning communities in heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 98-111.

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