Transport network analysis: Difference between revisions

Revision as of 19:34, 26 December 2020

Revision as of 18:26, 9 January 2021

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G Zeng, D Li, S Guo, L Gao, Z Gao, HE Stanley, S Havlin,

Proceedings of the National Academy of Sciences 116 (1), 23-28 (2019)

</ref> It is also found that during rush hours the traffic network can have a several metastable states of different network sizes and the alternate between these states.<ref>{{cite journal |last1=G. Zeng, J. Gao, L. Shekhtman, S. Guo, W. Lv, J. Wu, H. Liu, O. Levy, D. Li, ... |title=Multiple metastable network states in urban traffic |journal=Proceedings of the National Academy of Sciences. |date=2020 |volume=117 |issue=30 |pages=17528-17534}}</ref> t is also found that during rush hours the traffic network can have a several metastable states of different network sizes and the alternate between these states.<ref>{{cite journal |last1=G Zeng, J Gao, L Shekhtman, S Guo, W Lv, J Wu, H Liu, O Levy, D Li, |title=Multiple metastable network states in urban traffic |journal=Proceedings of the National Academy of Sciences |date=2020 |volume=117 |issue=30 |pages=7528-17534}}</ref>

An empirical study regarding the size distribution of traffic jams has been performed recently by Zhang et al. <ref>Scale-free resilience of real traffic jams,