TY  - JOUR
PY  - 2020//
TI  - Multiple metastable network states in urban traffic
JO  - Proceedings of the National Academy of Sciences of the United States of America
A1  - Zeng, Guanwen
A1  - Gao, Jianxi
A1  - Shekhtman, Louis
A1  - Guo, Shengmin
A1  - Lv, Weifeng
A1  - Wu, Jianjun
A1  - Liu, Hao
A1  - Levy, Orr
A1  - Li, Daqing
A1  - Gao, Ziyou
A1  - Stanley, H. Eugene
A1  - Havlin, Shlomo
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0027-8424
UR  - http://dx.doi.org/10.1073/pnas.1907493117
ID  - ref1
ER  -