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Tracing Road Network Bottleneck by Data Driven Approach
Hongsheng Qi1, Meiqi Liu1, Lihui Zhang1
1College of Civil Engineering and Architecture, Zhejiang University, 866, Yuhangtang Road, Hangzhou, 310058, China.
Plos One
|May 27, 2016
Summary
This study introduces a user voting method to identify urban traffic bottlenecks from flawed data. This approach helps understand bottleneck dynamics and movement for better transportation resource allocation.
Area of Science:
- Traffic engineering
- Transportation science
- Urban planning
Background:
- Urban road congestion exhibits complex temporal and spatial dynamics.
- Network bottlenecks are the primary cause of traffic congestion.
- Understanding bottleneck evolution is crucial for effective transportation resource management.
Purpose of the Study:
- To propose a novel method for identifying traffic bottlenecks.
- To address data quality issues in traffic flow data.
- To analyze the dynamics and movement of traffic bottlenecks.
Main Methods:
- A "user voting method" is proposed to rank road links based on performance measures.
- Links with high rankings are identified as recurrent bottlenecks.
- Bottleneck areas are defined, and parameters like coverage and link length are calculated.
Main Results:
- The user voting method effectively identifies recurrent bottlenecks in urban road networks.
- Bottleneck areas and their parameters provide insights into bottleneck evolution.
- The method allows for tracing the movement of bottlenecks over time.
Conclusions:
- The proposed user voting method offers a robust approach to handling flawed traffic data.
- Identifying bottleneck areas and parameters aids in understanding congestion dynamics.
- This research contributes to more efficient transportation resource allocation through improved bottleneck analysis.
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