A methodological approach to improving the operational efficiency of traction rolling stock based on information on completed train rides

The article considers the problem of improving the operational efficiency of traction rolling stock based on the analysis of information on completed train rides performed by locomotive crews and obtained from on-board movement parameter recorders, microprocessor-based control and diagnostic systems, as well as safety and automatic train operation devices. The paper proposes a formulation of the problem of rational selection of a train operation model and assignment of a locomotive crew or an automated control system algorithm to a trip, taking into account the train category, train operation parameters, and the priority of particular control quality criteria. The possibility of representing this problem as a multicriteria decision-making problem and a combinatorial optimization problem is shown. The practical significance of the approach is associated with forming a basis for an automated decision support system under the conditions of digitalization of locomotive operation.

1. Romen, Yu. S. Influence of longitudinal forces in trains on the risk of car derailment depending on their loading / Yu. S. Romen, L. A. Muginshtein, L. I. Neverova // Transport of the Russian Federation. – 2013. – No. 3 (46). – P. 64–68. – ISSN 1994-831X.

2. Muginshtein, L. A. Numerical simulation of longitudinal dynamic processes in freight trains with distributed traction / L. A. Muginshtein, I. A. Yabko, S. I. Liseyev // Bulletin of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan. – 2004. – No. 5. – P. 143–147. – ISSN 2307-3489.

3. Train numbering for the timetable : approved by Order of JSC Russian Railways dated April 5, 2014 No. 859r (as amended on October 13, 2020). – Moscow : JSC Russian Railways, 2020. – 10 p.

4. Rules for technical operation of the railways of the Russian Federation : approved by Order of the Ministry of Transport of Russia dated June 23, 2022 No. 250. – Voronezh : WINNER LLC, 2022. – 598 p.

5. Kharchenko, P. A. Improving the level of train traffic safety and energy efficiency of the transportation process by improving methods and models for maintaining personnel competence / P. A. Kharchenko // Trudy Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. – 2022. – No. 4 (61). – P. 123–131. – ISSN 1818-5509.

6. Kharchenko, P. A. Improvement of the system and technology of rolling stock operation based on the analysis of information from movement parameter recording devices, diagnostics and monitoring of the technical condition of a locomotive / P. A. Kharchenko // Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. – 2025. – No. 1 (97). – P. 201–210. – DOI 10.46973/0201-727X_2025_1_201.

7. Kharchenko, P. A. Criteria for evaluating the driver’s control activity based on data from onboard movement parameter recorders / P. A. Kharchenko, K. I. Yurenko // Current problems and prospects for the development of transport, industry and economy of Russia : collection of scientific papers, Rostov-on-Don, March 1–2, 2018. Vol. 1 : Engineering Sciences. – Rostov-on-Don : Rostov State Transport University, 2018. – P. 91–94. – ISBN 978-5-88814-749-8.

8. Mironova, L. A. Analysis of the “Digital Railway” concept and prospects for its development / L. A. Mironova, G. V. Kolodeznaya // Transport of the Asia-Pacific Region. – 2020. – No. 2 (23). – P. 21–23. – ISSN 2415-8658.

9. Zhashkova, T. V. Digital economy and digital railway / T. V. Zhashkova, A. S. Grishanina // Modern Information Technologies. – 2019. – No. 30. – P. 105–110. – ISSN 1815-2724.

10. Ways of developing rolling stock within the framework of railway transport digitalization / A. N. Antropov, T. A. Antropova, S. V. Bushuev [et al.] // Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. – 2022. – No. 4 (88). – P. 200–208. – DOI 10.46973/0201-727X_2022_4_200.