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Switch between critical percolation modes in city traffic dynamics.
Zeng, Guanwen; Li, Daqing; Guo, Shengmin; Gao, Liang; Gao, Ziyou; Stanley, H Eugene; Havlin, Shlomo.
Afiliación
  • Zeng G; School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.
  • Li D; Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing 100191, China.
  • Guo S; School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China; daqingl@buaa.edu.cn zygao@bjtu.edu.cn hes@bu.edu.
  • Gao L; Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing 100191, China.
  • Gao Z; State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China.
  • Stanley HE; School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
  • Havlin S; School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; daqingl@buaa.edu.cn zygao@bjtu.edu.cn hes@bu.edu.
Proc Natl Acad Sci U S A ; 116(1): 23-28, 2019 01 02.
Article en En | MEDLINE | ID: mdl-30591562
ABSTRACT
Percolation transition is widely observed in networks ranging from biology to engineering. While much attention has been paid to network topologies, studies rarely focus on critical percolation phenomena driven by network dynamics. Using extensive real data, we study the critical percolation properties in city traffic dynamics. Our results suggest that two modes of different critical percolation behaviors are switching in the same network topology under different traffic dynamics. One mode of city traffic (during nonrush hours or days off) has similar critical percolation characteristics as small world networks, while the other mode (during rush hours on working days) tends to behave as a 2D lattice. This switching behavior can be understood by the fact that the high-speed urban roads during nonrush hours or days off (that are congested during rush hours) represent effective long-range connections, like in small world networks. Our results might be useful for understanding and improving traffic resilience.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2019 Tipo del documento: Article País de afiliación: China