globalchange  > 气候变化与战略
DOI: 10.1073/pnas.1907493117
论文题名:
Multiple metastable network states in urban traffic
作者: 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.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期:30
起始页码: 17528
结束页码: 17534
语种: 英语
英文关键词: Multiple states ; Percolation ; Resilience ; Tipping point ; Urban traffic
Scopus关键词: article ; China ; global positioning system ; hysteresis
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164115
Appears in Collections:气候变化与战略

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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, China, National Key Laboratory of Science and Technology on Reliability and Environmental Engineering, Beijing, 100191, China; Gao, Z., School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China; Eugene Stanley, H., Center for Polymer Studies, Boston University, Boston, MA 02215, United States, Physics Department, Boston University, Boston, MA 02215, United States; Havlin, S., Department of Physics, Bar-Ilan University, Ramat Gan, 52900, Israel

Recommended Citation:
Zeng G.,Gao J.,Shekhtman L.,et al. Multiple metastable network states in urban traffic[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(30)
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