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dc.contributor.authorZhang, Limiaoen_US
dc.contributor.authorZeng, Guanwenen_US
dc.contributor.authorLi, Daqingen_US
dc.contributor.authorHuang, Hai-Junen_US
dc.contributor.authorStanley, H. Eugeneen_US
dc.contributor.authorHavlin, Shlomoen_US
dc.coverage.spatialUnited Statesen_US
dc.date.accessioned2020-02-27T19:59:35Z
dc.date.available2020-02-27T19:59:35Z
dc.date.issued2019-04-30
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/30979803
dc.identifier.citationLimiao 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
dc.identifier.issn1091-6490
dc.identifier.urihttps://hdl.handle.net/2144/39569
dc.description.abstractThe 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.en_US
dc.format.extent8673 - 8678en_US
dc.languageeng
dc.relation.ispartofProc Natl Acad Sci U S A
dc.rightsThis open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectComplex systemsen_US
dc.subjectResilienceen_US
dc.subjectScaling lawsen_US
dc.subjectSpatiotemporalen_US
dc.subjectTraffic congestionen_US
dc.titleScale-free resilience of real traffic jamsen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.1073/pnas.1814982116
pubs.elements-sourcepubmeden_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Physicsen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv397190


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This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
Except where otherwise noted, this item's license is described as This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).