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Hybrid traffic dynamics on coupled networks

Author

Listed:
  • Chen, Jie
  • Wu, Chao-Yun
  • Li, Ming
  • Hu, Mao-Bin

Abstract

Recent researches indicate that real network systems are often coupled together by shared links or interconnecting nodes, through which different networks can communicate with each other. Therefore, both intra-traffic and inter-traffic coexist in these systems. In this paper, we study such kind of hybrid traffic flow considering three coupling mechanisms: (i) assortative coupling, (ii) disassortative coupling, and (ii) the newly proposed anti-assortative coupling. The results show that the anti-assortative coupling can achieve higher traffic capacity, especially when the inter-traffic level is high. The traffic capacity of system exhibits non-monotonic behavior with the coupling strength. With the anti-assortative coupling mechanism, the system capacity can be improved at an optimized coupling strength of β≈0.3. We further propose an index called effective betweenness, based on which the traffic capacity of such coupled systems can be theoretically predicted.

Suggested Citation

  • Chen, Jie & Wu, Chao-Yun & Li, Ming & Hu, Mao-Bin, 2019. "Hybrid traffic dynamics on coupled networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 98-104.
    • Handle: RePEc:eee:phsmap:v:516:y:2019:i:c:p:98-104
    DOI: 10.1016/j.physa.2018.10.016
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    References listed on IDEAS

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    1. Zhang, Lin & Du, Wenbo & Ying, Wen & Cai, Kaiquan & Wang, Zhen & Cao, Xianbin, 2018. "Optimal resource allocation in interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 104-110.
    2. Du, Wen-Bo & Wu, Zhi-Xi & Cai, Kai-Quan, 2013. "Effective usage of shortest paths promotes transportation efficiency on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3505-3512.
    3. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    4. 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.
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    Cited by:

    1. Chen, Jie & Tan, Xuegang & Cao, Jinde & Li, Ming, 2022. "Effect of coupling structure on traffic-driven epidemic spreading in interconnected networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    2. Chen, Jie & Cao, Jinde & Huang, Wei, 2023. "Traffic-driven explosive synchronization with adaptive local routing in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    3. Zhang, Wanning & Chen, Bokui & Liang, Xiaodan, 2024. "Neural Network based Route Guidance Strategy in intelligent transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).

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