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Traffic dynamics on layered complex networks

Author

Listed:
  • Zhuo, Yue
  • Peng, Yunfeng
  • Liu, Chang
  • Liu, Yingkai
  • Long, Keping

Abstract

To minimize traffic congestion, understanding how traffic dynamics depend on network structure is necessary. Many real-world complex systems can be described as multilayer structures. In this paper, we introduce the idea of layers to establish a traffic model of two-layer complex networks. By comparing different two-layer complex networks based on random and scale-free networks, we find that the physical layer is much more important to the network capacity of two-layer complex networks than the logical layer. Two-layer complex networks with a homogeneous physical topology are found to be more tolerant to congestion. Moreover, simulation results show that the heterogeneity of logical and physical topologies makes the packet-delivery process of two-layer networks more efficient in the free-flow state, without the occurrence of traffic congestion.

Suggested Citation

  • Zhuo, Yue & Peng, Yunfeng & Liu, Chang & Liu, Yingkai & Long, Keping, 2011. "Traffic dynamics on layered complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2401-2407.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:12:p:2401-2407
    DOI: 10.1016/j.physa.2011.02.002
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    Citations

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    Cited by:

    1. Ma, Jinlong & Kong, Lingkang, 2023. "The influence of edge-adding strategy on traffic capacity of multilayer network," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    2. Rui Ding & Jian Yin & Peng Dai & Lu Jiao & Rong Li & Tongfei Li & Jianjun Wu, 2019. "Optimal Topology of Multilayer Urban Traffic Networks," Complexity, Hindawi, vol. 2019, pages 1-19, October.
    3. Tan, Fei & Xia, Yongxiang, 2013. "Hybrid routing on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4146-4153.
    4. Gao, Xingle & Peng, Minfang & Tse, Chi K., 2021. "Impact of wind power uncertainty on cascading failure in cyber–physical power systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    5. Ma, Jinlong & Wang, Peng & An, Zishuo, 2023. "The influence of layered community network structure on traffic capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    6. Nadia M. Viljoen & Johan W. Joubert, 2018. "The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability," Networks and Spatial Economics, Springer, vol. 18(1), pages 85-113, March.
    7. Laura Alessandretti & Luis Guillermo Natera Orozco & Meead Saberi & Michael Szell & Federico Battiston, 2023. "Multimodal urban mobility and multilayer transport networks," Environment and Planning B, , vol. 50(8), pages 2038-2070, October.
    8. Ghosh, Saptarshi & Banerjee, Avishek & Ganguly, Niloy, 2012. "Some insights on the recent spate of accidents in Indian Railways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(9), pages 2917-2929.
    9. Chen, Zhenhao & Wu, Jiajing & Rong, Zhihai & Tse, Chi K., 2018. "Optimal topologies for maximizing network transmission capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 191-201.
    10. Qian, Qian & Yang, Yang & Gu, Jing & Feng, Hairong, 2019. "Information authenticity, spreading willingness and credit risk contagion – A dual-layer network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).

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