Hybrid traffic dynamics on coupled networks

Jie Chen, Chao-Yun Wu, Ming Li and Mao-Bin Hu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 516, issue C, 98-104

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.

Keywords: Coupled networks; Hybrid traffic flow; Effective betweenness (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:516:y:2019:i:c:p:98-104

DOI: 10.1016/j.physa.2018.10.016

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