Development of a methods for improving the preparation of a normative train schedule
https://doi.org/10.46684/2687-1033.2026.2.188-193
EDN: YIRAFR
Abstract
Introduction: The railway system is one of the popular modes of transport today because of its punctuality and convenience. At the same time, the demand in the railway system is characterized by spatial and temporal imbalance. Therefore, an urgent task today is to optimize approaches to train scheduling and maintenance planning of the railway network. The aim of the article is to develop recommendations for improving the methodology of normative train scheduling.
Materials and methods: analysis and synthesis, mathematical statistics, simulation modelling, methods of the theory of organization of operational work of railways.
Results: in the process of research the basic model of integer programming for making up the normative train schedule is formalized. The decomposition of related factors for the problem of making up the normative train schedule is presented. The algorithm for optimization scheduling of the railway network is substantiated.
Conclusions: the algorithm presented in the paper allows to provide the possibility of flexible adjustment of the normative train schedule in accordance with fluctuations in passenger travel demand and maintenance tasks, which will rationalize resource consumption, avoid downtime and achieve sustainable development.
About the Authors
I. M. PopovaIrina M. Popova — Cand. Sci. (Econ), Associate Professor
1A, Astrakhanskaya st., Saratov, 410004
E. A. Abdulina
Russian Federation
Elena A. Abdulina — specialist in educational and methodological work
1A, Astrakhanskaya st., Saratov, 410004
V. V. Karnakova
Russian Federation
Victoria V. Karnakova — Senior lecturer
1A, Astrakhanskaya st., Saratov, 410004
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Review
For citations:
Popova I.M., Abdulina E.A., Karnakova V.V. Development of a methods for improving the preparation of a normative train schedule. Transport Technician: Education and Practice. 2026;7(2):188-193. (In Russ.) https://doi.org/10.46684/2687-1033.2026.2.188-193. EDN: YIRAFR
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