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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Percolation transition in dynamical traffic network with evolving critical bottlenecks.

Daqing Li1, Bowen Fu2, Yunpeng Wang3

  • 1School of Reliability and Systems Engineering and Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing 100191, China; hes@bu.edu ypwang@buaa.edu.cn daqingl@buaa.edu.cn.

Proceedings of the National Academy of Sciences of the United States of America
|January 2, 2015
PubMed
Summary

Global city traffic flow organizes through "traffic percolation," where local road flows form clusters. Improving critical bottleneck roads offers a low-cost method to enhance overall traffic dynamics and efficiency.

Keywords:
emergencepercolationtraffic

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Area of Science:

  • Complex systems
  • Transportation science
  • Network theory

Background:

  • Traffic dynamics exhibit critical phenomena, transitioning between local and global flow states.
  • The collective organization of local road flows into city-wide traffic remains poorly understood.

Purpose of the Study:

  • To characterize the collective organization of urban traffic flow.
  • To introduce and analyze the concept of "traffic percolation".

Main Methods:

  • Analysis of real-time city road traffic data.
  • Modeling traffic organization as a percolation process.

Main Results:

  • Global traffic is dynamically composed of interconnected local flow clusters linked by bottleneck roads.
  • The organization evolves daily, with recurring bottleneck patterns at similar hours.
  • Identifying and improving critical bottleneck roads significantly benefits global traffic flow.

Conclusions:

  • Traffic percolation provides a framework for understanding urban traffic dynamics.
  • Targeted improvements to critical infrastructure can yield substantial traffic benefits.
  • Insights are applicable to transportation, epidemic control, and emergency evacuation planning.