Russian Federation
Russian Federation
Russian Federation
Russian Federation
Purpose: Fuel saving is one of the key challenges facing railway transport. The “Traction — Forecast” software is a solution in search for energy-efficient modes of train driving in various operating conditions. It is difficult to use the algorithms of the system in automatic train operation programmes because of the need to perform a large amount of calculations in real time. The application of energy-saving train driving methods that have been determined by the “Traction — Forecast” software algorithms has been increasingly important due to the necessity of improving locomotive operations. The additivity of the determined modes makes it possible to apply the “Kiev broom” algorithm for solving traction-energy problems using the “Traction — Forecast” software, which sharply reduces the number of steps performed when determining the energy-efficient mode. The solutions for reducing the computational volume of the train-driving mode without noticeable fuel losses have been proposed. Methods: The values of the train fuel consumption determined for the whole railway line energy-efficient mode have been compared with the fuel consumption for separate sections of the same railway line calculated according to the same guidelines. Results: The additivity of energy-optimal modes of train driving determined by the “Traction — Forecast” software algorithms for a single railway line and its separate sections with an error of less than 2% has been confirmed. Application: The algorithms of the “Traction — Forecast” software can be applied in the automatic train operation progra mmes.
Software system, traction calculations, optimal control, energy-optimal mode, additivity, terminology
1. Faminskiy G. V. Avtomaticheskie ustroystva dlya vozhdeniya poezdov / G. V. Faminskiy, E. V. Erofeev. — M.: Transport, 1978 — 108 s.
2. URL: https://zdmira.com/news/v-kitae-uspeshnoispytali- bespilotnyj-tyazhelovesnyj-poezd.
3. Grinevich V. P. Ispol'zovanie programmnogo kompleksa «Tyaga — Prognoz» dlya poiska energooptimal'nyh rezhimov vedeniya poezda / V. P. Grinevich, D. N. Kurilkin, T. S. Avsievich // Byulleten' rezul'tatov nauchnyh issledovaniy. — 2022. — Vyp. 4. — S. 131–149. — DOI: 10. 20295/2223-9987-2022-4-131-149.
4. Svidetel'stvo o registracii programmy dlya EVM 2022616927 Rossiyskaya Federaciya. Programma vypolneniya tyagovo-energeticheskih raschetov «Tyaga — Prognoz» vedeniya lokomotivami poezdov razlichnoy sostavnosti po energooptimal'nym rezhimam / V. P. Grinevich, D. N. Kurilkin, T. S. Avsievich i dr. — № 2022616055; zayavl. 06.04.2022; opubl. 18.04.2022, Byul. № 4.
5. Grinevich V. P. K voprosu ocenki perehodnyh processov v teplovoznom dizel'-generatore / V. P. Grinevich, T. S. Avsievich, P. S. Frolov // Vestnik VNIKTI. — 2022. — Vyp. 105. — S. 53–60.
6. Kurilkin D. N. Uchet perehodnyh processov v dizel'-generatornoy ustanovke teplovoza pri vypolnenii tyagovyh raschetov / D. N. Kurilkin, V. V. Grachev, A. G. Bragin // Vestnik Rostovskogo gosudarstvennogo universiteta putey soobscheniya. — 2024. — № 1. — S. 22–34. — DOI:https://doi.org/10.46973/0201-727X_2024_1_22.
7. Bellman R. Dinamicheskoe programmirovanie / Bellman R. Per. s angl. I. M. Andreevoy i dr.; pod obsch. red. N. N. Vorob'eva. — M.: Izdatel'stvo inostrannoy literatury, 1960. — 400 s.
8. Moiseev N. N. Chislennye metody v teorii optimal'nyh sistem / N. N. Moiseev. — M.: Nauka. 1971. — 424 s.
9. Kostromin A. M. Optimizaciya upravleniya lokomotivom / A. M. Kostromin. — M.: Transport, 1979. — 119 s.
10. Muginshteyn L. A. Energooptimal'nye metody upravleniya dvizheniem / L. A. Muginshteyn, A. E. Ilyutovich, I. A. Yabko. — M.: Intekst, 2012. — 80 s.
11. Baranov A. M. Razvitie propusknoy i provoznoy sposobnosti odnoputnyh liniy / A. M. Baranov, V. E. Kozlov, E. D. Fel'dman // Trudy VNIIZhT. — M.: Transport, 1964. — Vyp. 280. — 196 s.
