Potential for increasing railway line capacity through accelerated passenger boarding in commuter trains
https://doi.org/10.52170/1815-9265-2025-77-82
Abstract
The article presents a comprehensive study of capacity reserves on bottleneck railway routes–key export-oriented corridors of Russian Railways (RZD). The primary focus is on analyzing the impact of suburban passenger services on the efficiency of mixed traffic, particularly the slowdown of overall train flow caused by prolonged dwell times of electric trains at stops equipped with low platforms. The study formulates and tests the hypothesis that a significant portion of railway line capacity can be unlocked not through costly infrastructure expansion, but by modernizing suburban transport technologies. To verify this hypothesis, a detailed analysis of scheduled train timetables was conducted on sections of the East Siberian and Trans-Baikal Railways, where suburban train traffic reaches up to 20 train pairs per day alongside intensive freight operations. Using tabular calculations and visualized train diagrams, time losses were quantified: on the Irkutsk–Slyudyanka section, the travel time difference between a suburban and a freight train reaches 18.5 minutes, directly resulting in the displacement of 2–3 freight trains per day. Additionally, passenger boarding-alighting times were segmented based on platform height and rolling stock type. Based on these findings, a scenario involving the deployment of electric trains with variable floor height was modeled, demonstrating a potential reduction in dwell times by 30–50%. The results indicate that substantial increases in line capacity on bottleneck corridors are achievable without constructing new tracks or stations. The paper concludes with practical recommendations for rolling stock modernization, phased transition to high platforms, and optimization of suburban train stopping patterns.
About the Authors
S. P. VakulenkoRussian Federation
Sergey P. Vakulenko – Candidate of Engineering, Professor, Deputy Director of the Research Institute of Transport
D. Yu. Romenskiy
Russian Federation
Dmitry Yu. Romenskiy – Candidate of Engineering, Associate Professor of the Transport Business Management and Intelligent Systems Department
A. D. Ershov
Russian Federation
Andrey D. Ershov – Senior Lecturer of the Transport Business Management and Intelligent Systems Department
K. A. Kalinin
Russian Federation
Kirill A. Kalinin – Candidate of Engineering, Associate Professor of the Transport Business Management and
Intelligent Systems Department
P. A. Krasilnikov
Russian Federation
Pavel A. Krasilnikov – Senior Lecturer of the Transport Business Management and Intelligent Systems Department
References
1. Muginshtein L. A., Mekhedov M. I. Methodological Approaches to Revelation of Factors Influencing the Stability of Train Flow Handling. Railway Research Institute Bulletin. 2014;(2):6–13. (In Russ.).
2. Baranov L. A., Bestemyanov P. F., Balakina E. P., Pudovikov O. E. Design Principles and Models of Automatic Control System for Second Locomotive at Virtual Assessment. Transport Automation Research. 2022;8(4):377–388. (In Russ.). DOI 10.20295/2412-9186-2022-8-04-377-388.
3. Baranov L. A., Bestemyanov P. F., Balakina E. P., Pudovikov O. E. Methodology for Selecting Virtual Coupling Length Based on Safety Requirements in Intelligent Train Control Systems. Problems of Safety Control in Complex Systems: Proceedings of the 30th International Conference, Moscow, December 14, 2022. Editors A. O. Kalashnikov, V. V. Kulba. Moscow: Trapeznikov Institute of Control Sciences of Russian Academy of Sciences; 2022. P. 261–267. (In Russ.). DOI 10.25728/iccss.2022.39.49.039.
4. Muginshteyn L. A., Shensfeld K. P. Experience in Implementing Heavy-Haul Rail Operations. Railway Transport. 2016;(3):35–41. (In Russ.).
5. Zhukhin N. O., Pudovikov O. E. Improving Algorithms for Controlling the Speed of Long Freight Trains. Russian Electrical Engineering. 2021;92(9):504–509. (In Russ.). DOI 10.3103/S1068371221090169.
6. Pudovikov О. Е. Controlling long heavy freight trains. Control of Large Systems. 2010;(29):214–231. (In Russ.).
7. Kiryakin V. U., Novgorodceva A. V. Polygon technology of predictive variant graphs using hardware-software complex ELBRUS. Bulletin of the United Scientific Council of Russian Railways. 2014;(1):16–21. (In Russ.).
8. Vakulenko S. P., Mechedov M. I., Romensky D. Yu. [et al.]. Application of the ‘ELBRUS-Educational’ System in Training Students in Railway Operations. Railway Transport. 2023;(4):50–54. (In Russ.).
9. Kalinin K. A. Improving the Passenger Transportation Management System in Areas with High-Speed and UltraHigh-Speed Trains: Speciality 05.22.08 Transportation Management. Dissertation for the Degree of Candidate of Engineering. Kalinin Kirill Antonovich. Moscow; 2022. 251 p. (In Russ.).
10. Borodin A. F., Panin V. V., Ageeva M. A. [et al.]. Assessment of transportation capacity balance of railway network polygons. Russian Railway Science Journal. 2022;81(2):158–169. (In Russ.). https://doi.org/10.21780/2223-9731-2022-81-2-158-169.
11. Panin V. V. Comprehensive measures to improve the efficiency of infrastructure use and increase the carrying capacity of Russian Railways. Logistics and Supply Chain Management. 2024;20(3):50–59. (In Russ.).
12. Romensky D. Yu. Suburban and Urban Rail Passenger Transport on Diameter Routes in Major Transport Hubs (Case Study of the Moscow Transport Hub). Speciality 05.22.08 Transportation Process Management: Dissertation for the Degree of Candidate of Engineering. Moscow; 2021. 240 p. (In Russ.).
13. Vakulenko S. P., Romensky D. Yu., Kalinin K. A. [et al.]. Methodological Foundations of Suburban and Urban Passenger Transport Organization by Rail in Major Transport Hubs (Case Study of the Central Transport Hub: Experience and Prospects). Collective monograph. Moscow: Russian University of Transport (MIIT); 2023. 428 p. (In Russ.).
Review
For citations:
Vakulenko S.P., Romenskiy D.Yu., Ershov A.D., Kalinin K.A., Krasilnikov P.A. Potential for increasing railway line capacity through accelerated passenger boarding in commuter trains. Bulletin of Siberian State University of Transport. 2025;(5):82-91. (In Russ.) https://doi.org/10.52170/1815-9265-2025-77-82
JATS XML







