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Proceedings of the National Academy of Sciences 116(18), 8673-8678 (2019)</ref> They found an approximate universal power law for the jam sizes distribution.
A method to identify functional clusters of spatial-temporal streets that represent fluent traffic flow in a city has been developed by Serok et al.<ref>{{cite journal |last1=Nimrod Serok, Orr Levy, Shlomo Havlin, Efrat Blumenfeld-Lieberthal |title=Unveiling the inter-relations between the urban streets network and its dynamic traffic flows: Planning implication |journal=SAGE Publications |date=2019 |volume=46 |issue=7 |pages=1362}}</ref> G. Li et al.<ref>{{cite journal |last1=G. Li, S.D.S. Reis, A.A. Moreira, S. Havlin, H.E. Stanley, J.S. Andrade Jr. |title=Towards Design Principles for Optimal Transport Networks |journal=Phys. Rev. Lett. |date=2010 |volume=104 |issue=1 |pages=018701|doi=10.1103/PhysRevLett.104.018701 |pmid=20366398 |arxiv=0908.3869 |bibcode=2010PhRvL.104a8701L |s2cid=119177807 }}</ref> developed a method to design an optimal two layer transportation network in a city.
[[File:Percolation traffic networks.png|500px|center|alt=Percolation traffic networks|thumb|Fig. 1: Percolation of traffic networks in a typical day in Beijing. '''A''' Shows the high speed clusters. In '''B''' one can see the clusters at the critical threshold, where the giant component breaks. '''C''' Shows the low speed case where one can reach the whole city. In '''D''', one can see the percolation behavior of the largest (green) and second largest (orange) components as a function of relative speed. '''E''' Shows the critical threshold, q<math>c</math>, during the day for working days and weekends. High q<math>c</math> means good global traffic while low q<math>c</math> is bad traffic—during rush hour.
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===Flow patterns of traffic===
River-like patterns of traffic flow in urban areas in large cities during rush hours and non rush hours have been studied by Yohei Shida et al.<ref>{{cite journal |last1=Y. Shida, H. Takayasu, S. Havlin, M. Takayasu |title=Universal scaling laws of collective human flow patterns in urban regions |journal=Scientific Reports |date=2020 |volume=10 |issue=1 |page=21405 |doi=10.1038/s41598-020-77163-2 |pmid=33293581 |pmc=7722863 }}</ref>
==See also==
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