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    Switch between critical percolation modes in city traffic dynamics

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    This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
    Date Issued
    2019-01-02
    Publisher Version
    10.1073/pnas.1801545116
    Author(s)
    Zeng, Guanwen
    Li, Daqing
    Guo, Shengmin
    Gao, Liang
    Gao, Ziyou
    Stanley, H. Eugene
    Havlin, Shlomo
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    Permanent Link
    https://hdl.handle.net/2144/39571
    Version
    Published version
    Citation (published version)
    Guanwen Zeng, Daqing Li, Shengmin Guo, Liang Gao, Ziyou Gao, H Eugene Stanley, Shlomo Havlin. 2019. "Switch between critical percolation modes in city traffic dynamics." Proceedings Of The National Academy Of Sciences Of The United States Of America, Volume 116, Issue 1, pp. 23 - 28. https://doi.org/10.1073/pnas.1801545116
    Abstract
    Percolation transition is widely observed in networks ranging from biology to engineering. While much attention has been paid to network topologies, studies rarely focus on critical percolation phenomena driven by network dynamics. Using extensive real data, we study the critical percolation properties in city traffic dynamics. Our results suggest that two modes of different critical percolation behaviors are switching in the same network topology under different traffic dynamics. One mode of city traffic (during nonrush hours or days off) has similar critical percolation characteristics as small world networks, while the other mode (during rush hours on working days) tends to behave as a 2D lattice. This switching behavior can be understood by the fact that the high-speed urban roads during nonrush hours or days off (that are congested during rush hours) represent effective long-range connections, like in small world networks. Our results might be useful for understanding and improving traffic resilience.
    Rights
    This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
    Collections
    • CAS: Physics: Scholarly Papers [346]
    • BU Open Access Articles [3664]


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