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Dynamics of traffic networks: From microscopic and macroscopic perspectives

Author

Listed:
  • Sun, H.J.
  • Wu, J.J.
  • Gao, Z.Y.

Abstract

Considering the microscopic characteristics (vehicle speed, road length etc.) of links and macroscopic behaviors of traffic systems, we derive the critical flow generation rate in scale-free networks. And the dynamics of traffic congestion is studied numerically in this paper. It is shown that the queue length increases with microscopic characteristics of links. Additionally, the critical flow generation rate decreases with increase of the network size N, maximum speed vmax and parameter τ. The significance of this finding is that, in order to improve the traffic environment, both the local information for the single link and behaviors of the whole network must be analyzed simultaneously in a traffic system design.

Suggested Citation

  • Sun, H.J. & Wu, J.J. & Gao, Z.Y., 2008. "Dynamics of traffic networks: From microscopic and macroscopic perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(7), pages 1648-1654.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:7:p:1648-1654
    DOI: 10.1016/j.physa.2007.10.054
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    Cited by:

    1. Derrible, Sybil & Kennedy, Christopher, 2010. "The complexity and robustness of metro networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3678-3691.
    2. Yuan, PengCheng & Juan, ZhiCai, 2013. "The related congestion failure estimating methodology and model in transportation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4330-4344.
    3. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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