气候变化领域集成服务门户(CCPortal): Multiple metastable network states in urban traffic

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DOI	10.1073/pnas.1907493117
	Multiple metastable network states in urban traffic
	Zeng G.; Gao J.; Shekhtman L.; Guo S.; Lv W.; Wu J.; Liu H.; Levy O.; Li D.; Gao Z.; Eugene Stanley H.; Havlin S.
发表日期	2020
ISSN	0027-8424
起始页码	17528
结束页码	17534
卷号	117 期号:30
英文摘要	While abrupt regime shifts between different metastable states have occurred in natural systems from many areas including ecology, biology, and climate, evidence for this phenomenon in transportation systems has been rarely observed so far. This limitation might be rooted in the fact that we lack methods to identify and analyze possible multiple states that could emerge at scales of the entire traffic network. Here, using percolation approaches, we observe such a metastable regime in traffic systems. In particular, we find multiple metastable network states, corresponding to varying levels of traffic performance, which recur over different days. Based on high-resolution global positioning system (GPS) datasets of urban traffic in the megacities of Beijing and Shanghai (each with over 50,000 road segments), we find evidence supporting the existence of tipping points separating three regimes: a global functional regime and a metastable hysteresis-like regime, followed by a global collapsed regime. We can determine the intrinsic critical points where the metastable hysteresis-like regime begins and ends and show that these critical points are very similar across different days. Our findings provide a better understanding of traffic resilience patterns and could be useful for designing early warning signals for traffic resilience management and, potentially, other complex systems. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Multiple states; Percolation; Resilience; Tipping point; Urban traffic
语种	英语
scopus关键词	article; China; global positioning system; hysteresis
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160869
作者单位	Zeng, G., School of Reliability and Systems Engineering, Beihang University, Beijing, 100191, China, National Key Laboratory of Science and Technology on Reliability and Environmental Engineering, Beijing, 100191, China; Gao, J., Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, United States; Shekhtman, L., Network Science Institute, Northeastern University, Boston, MA 02115, United States; Guo, S., State Key Laboratory of Software Development Environment, Beihang University, Beijing, 100191, China; Lv, W., State Key Laboratory of Software Development Environment, Beihang University, Beijing, 100191, China; Wu, J., State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China; Liu, H., Beijing Transportation Information Center, Beijing, 100161, China; Levy, O., Department of Physics, Bar-Ilan University, Ramat Gan, 52900, Israel; Li, D., School of Reliability and Systems Engineering, Beihang University, Beijing, 100191, Chin...
推荐引用方式 GB/T 7714	Zeng G.,Gao J.,Shekhtman L.,et al. Multiple metastable network states in urban traffic[J],2020,117(30).
APA	Zeng G..,Gao J..,Shekhtman L..,Guo S..,Lv W..,...&Havlin S..(2020).Multiple metastable network states in urban traffic.Proceedings of the National Academy of Sciences of the United States of America,117(30).
MLA	Zeng G.,et al."Multiple metastable network states in urban traffic".Proceedings of the National Academy of Sciences of the United States of America 117.30(2020).