Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights
El-Sayeda, M., Zohnyb, H. (2025). Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights. EKB Journal Management System, 16(16), 1-1. doi: 10.1088/1755-1315/1530/1/012038
M.F. El-Sayeda; H.N. Zohnyb. "Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights". EKB Journal Management System, 16, 16, 2025, 1-1. doi: 10.1088/1755-1315/1530/1/012038
El-Sayeda, M., Zohnyb, H. (2025). 'Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights', EKB Journal Management System, 16(16), pp. 1-1. doi: 10.1088/1755-1315/1530/1/012038
El-Sayeda, M., Zohnyb, H. Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights. EKB Journal Management System, 2025; 16(16): 1-1. doi: 10.1088/1755-1315/1530/1/012038

Optimizing Railway Network Capacity: Analytical Approaches and Case Study Insights

The International Conference on Civil and Architecture Engineering
Volume 16, Issue 16, May 2025, Pages 1-1    PDF (333.98 K)
DOI: 10.1088/1755-1315/1530/1/012038
Authors
M.F. El-Sayeda1; H.N. Zohnyb2
1Assistant lecturer, Department of Civil Engineering, Military Technical College, Cairo, Egypt
2Assistant Professor, Department of public works, Ain Shams University, Cairo, Egypt
Abstract
Railway capacity optimization is essential for efficient and sustainable
transportation. Optimization strategies help maximize the use of existing infrastructure,
reducing the need for costly expansions and minimizing environmental impact. By enhancing
train scheduling, signaling systems, and operational policies, rail networks can accommodate
more traffic with fewer delays, improving overall service reliability. This paper examines
key factors influencing railway capacity, including headway time, block section length,
signaling systems, and operational speeds. Various analytical models and methodologies for
capacity estimation are discussed. This paper uses the UIC’s approach because it provides a
clear and practical method for improving the performance of rail networks. The UIC’s focus
on international standards and cooperation helped to build a strong foundation for
understanding capacity problems and suggesting effective solutions. It is utilized Along with
a case study on the Egyptian National Railways (ENR) network. The results show that
railway capacity is significantly influenced by signaling systems, train speed, block length,
and braking performance. Optimizing these factors—by reducing headway, improving speed
within policy limits, shortening block lengths, and enhancing braking systems—can lead to
substantial increases in overall line capacity.
Keywords
Railway capacity; headway time performance; UIC Code 406; capacity assessment
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