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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Traffic congestion in interconnected complex networks.

Fei Tan1, Jiajing Wu2, Yongxiang Xia3

  • 1Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China and Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 15, 2014
PubMed
Summary
This summary is machine-generated.

Interconnecting networks can reduce traffic congestion. Assortative coupling is most effective for managing traffic flow, especially when network capacity varies.

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Area of Science:

  • Network Science
  • Complex Systems Analysis
  • Traffic Engineering

Background:

  • Traffic congestion in isolated complex networks is well-studied.
  • Coupled network models offer new insights into real-world systems.
  • Congestion in coupled networks remains underexplored.

Purpose of the Study:

  • Investigate the impact of interconnections on traffic congestion.
  • Analyze traffic flow in interconnected Barabási-Albert scale-free networks.
  • Compare different coupling strategies (assortative, disassortative, random).

Main Methods:

  • Simulated traffic flow on interconnected Barabási-Albert networks.
  • Node processing capacity allocation based on usage probability.
  • Analysis of real-world Internet AS-level graphs (South Korea, Japan).

Main Results:

  • Assortative coupling significantly alleviates traffic congestion compared to other methods when capacity is usage-based.
  • An optimal coupling probability exists for assortative coupling.
  • Coupling preferences yield similar traffic performance when node capacity is uniform.

Conclusions:

  • Interconnections, particularly assortative coupling, can effectively manage traffic congestion in complex networks.
  • Network design and capacity allocation strategies are crucial for optimizing traffic flow.
  • Findings are validated with real-world Internet topology data.