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Updated: Aug 4, 2025
14:55
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
3.4K
Recursive traffic percolation on urban transportation systems.
Zhuoran Chen1, Chao Yang1, Jiang-Hai Qian2
1School of Information Science and Technology, Fudan University, Shanghai 200433, China.
Chaos (Woodbury, N.Y.)
|April 1, 2023
Summary
This study introduces a new traffic percolation framework to understand cascading failures and network bottlenecks. It uniquely considers external flow, offering insights into regional commuting and network resilience.
Area of Science:
- Network science
- Transportation engineering
- Complex systems analysis
Background:
- Cascading failures pose significant risks to transportation networks.
- Existing models often overlook the impact of external traffic flows on regional commuting patterns.
- Understanding network bottlenecks is crucial for infrastructure management and urban planning.
Purpose of the Study:
- To propose a novel recursive traffic percolation framework.
- To analyze the dynamics of cascading failures and identify overloaded bottlenecks.
- To incorporate the influence of external flow for a more comprehensive study of regional commuting.
Main Methods:
- Development of a recursive traffic percolation framework.
- Integration of external flow dynamics into the model.
- Empirical study using primary data for validation.
Main Results:
- The proposed framework accurately captures cascading failure dynamics.
- External flows from different regions demonstrably impact network performance.
- The framework enhances the analysis of functional network improvements.
Conclusions:
- The recursive traffic percolation framework provides a robust method for analyzing network failures.
- Considering external flows offers a valuable new perspective on regional commuting.
- The framework's effectiveness is validated, highlighting its utility for network analysis and improvement.
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