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Switch between critical percolation modes in city traffic dynamics.

Guanwen Zeng1,2, Daqing Li3,2, Shengmin Guo4

  • 1School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.

Proceedings of the National Academy of Sciences of the United States of America
|December 29, 2018
PubMed
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City traffic exhibits two distinct percolation behaviors based on traffic dynamics. Non-rush hours resemble small-world networks, while rush hours act like 2D lattices, impacting traffic resilience.

Keywords:
critical exponentspercolationphase transitionswitchtraffic

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Area of Science:

  • Network Science
  • Urban Dynamics
  • Traffic Engineering

Background:

  • Percolation transitions are common in various networks, but research often overlooks dynamics-driven phenomena.
  • Existing studies primarily focus on network topology rather than the impact of dynamic changes.

Purpose of the Study:

  • To investigate critical percolation properties within city traffic dynamics.
  • To identify and characterize different percolation behaviors driven by varying traffic conditions.

Main Methods:

  • Analysis of extensive real-world city traffic data.
  • Comparison of percolation characteristics under different traffic states (e.g., rush hour vs. non-rush hour).

Main Results:

  • City traffic displays two distinct critical percolation modes within the same network topology.
  • Non-rush hour traffic exhibits small-world network percolation characteristics.
  • Rush hour traffic demonstrates 2D lattice percolation behavior.

Conclusions:

  • Traffic dynamics significantly alter percolation phenomena in urban networks.
  • The observed switching behavior is attributed to the varying influence of high-speed roads as long-range connections.
  • Findings offer insights for enhancing urban traffic resilience and management.