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    Scale-free resilience of real traffic jams

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    License
    This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
    Date Issued
    2019-04-30
    Publisher Version
    10.1073/pnas.1814982116
    Author(s)
    Zhang, Limiao
    Zeng, Guanwen
    Li, Daqing
    Huang, Hai-Jun
    Stanley, H. Eugene
    Havlin, Shlomo
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    Permanent Link
    https://hdl.handle.net/2144/39569
    Version
    Published version
    Citation (published version)
    Limiao Zhang, Guanwen Zeng, Daqing Li, Hai-Jun Huang, H Eugene Stanley, Shlomo Havlin. 2019. "Scale-free resilience of real traffic jams.." Proc Natl Acad Sci U S A, Volume 116, Issue 18, pp. 8673 - 8678. https://doi.org/10.1073/pnas.1814982116
    Abstract
    The concept of resilience can be realized in natural and engineering systems, representing the ability of a system to adapt and recover from various disturbances. Although resilience is a critical property needed for understanding and managing the risks and collapses of transportation systems, an accepted and useful definition of resilience for urban traffic as well as its statistical property under perturbations are still missing. Here, we define city traffic resilience based on the spatiotemporal clusters of congestion in real traffic and find that the resilience follows a scale-free distribution in 2D city road networks and 1D highways with different exponents but similar exponents on different days and in different cities. The traffic resilience is also revealed to have a scaling relation between the cluster size of the spatiotemporal jam and its recovery duration independent of microscopic details. Our findings of universal traffic resilience can provide an indication toward better understanding and designing of these complex engineering systems under internal and external disturbances.
    Rights
    This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
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    • CAS: Physics: Scholarly Papers [356]
    • BU Open Access Articles [3730]


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