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This is a Quantitative Study study.

October 1, 2025T-CommOpen Access

Methods of cluster analysis of road networks for bottleneck detection and traffic optimization

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Observational analysis reveals traffic flow changes in urban transport networks, suggesting effective bottleneck detection strategies.

The study identifies stable functional areas in transport networks and their changes during varying congestion levels.
Experiments using real traffic flow data demonstrate effective bottleneck detection and highlight topological changes.
The proposed methodologies employ modern algorithms for network analysis and clustering on extensive urban road networks.
The findings underscore the importance of network analysis in forming strategies for improved traffic management.

Povaliaev et al. (2025) studied this question.

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