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September 10, 2025Open Access

Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights

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This analysis explores railway capacity optimization methods, highlighting effects of signaling systems and headway time.

Optimizing railway capacity can significantly enhance service reliability and reduce operational delays.
Key metrics include headway time, signaling systems, and block lengths which directly influence capacity.
Analytical models, especially the UIC’s approach, are essential for effective capacity estimation in rail networks.
The case study of the Egyptian National Railways illustrates the impact of speed and signaling on capacity.

El‐Sayed et al. (2025) studied this question.

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