89

Train movement curves are widely used in applications for railway operation and research, such as calculating train performance, estimating travel time over a stretch, estimating fuel and electricity consumption for traction, capacity analysis, train
movement planning, planning a new route, upgrading an old route, etc. Train movement is very complex and is regulated by many factors. As a result, an accurate and reasonable motion curve cannot be easily obtained using analytical approaches. Since this is a time consuming job, the modern approach is to create a train performance simulator to perform such calculations. Although many computer models have been developed, and some of them have become commercial software, their computing algorithms are not publicly disclosed due to trade secrets. In particular, they may not take into account the practical rules and, therefore, they are difficult to apply to specific railway systems.

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 11-05-2024
  • Read count 89
  • Date of publication 30-09-2023
  • Main LanguageIngliz
  • Pages6-11
English

Train movement curves are widely used in applications for railway operation and research, such as calculating train performance, estimating travel time over a stretch, estimating fuel and electricity consumption for traction, capacity analysis, train
movement planning, planning a new route, upgrading an old route, etc. Train movement is very complex and is regulated by many factors. As a result, an accurate and reasonable motion curve cannot be easily obtained using analytical approaches. Since this is a time consuming job, the modern approach is to create a train performance simulator to perform such calculations. Although many computer models have been developed, and some of them have become commercial software, their computing algorithms are not publicly disclosed due to trade secrets. In particular, they may not take into account the practical rules and, therefore, they are difficult to apply to specific railway systems.

Русский

Кривые движения поездов широко используются в приложениях для эксплуатации железных дорог и исследований, таких как расчет производительности поездов, оценка времени хода по перегону, оценка расхода топлива и  электроэнергии на тягу, анализ пропускной способности, планирование движения поездов, планирование нового маршрута, модернизация старого маршрута и т.д. Движение поезда очень сложное и регулируется многими факторами. В результате, точный и разумный кривой движения не может быть легко получено с помощью аналитических подходов. Поскольку это трудоемкая работа, современный подход заключается в создании симулятора производительности поезда для выполнения таких вычислений. Хотя было разработано много компьютерных моделей, и некоторые из них стали коммерческим программным обеспечением, их алгоритмы вычислений не раскрываются публично из-за коммерческой тайны. В частности, они могут не учитывать практические правила и, следовательно, их трудно применять к конкретным железнодорожным системам.

№ Author name position Name of organisation
1 Lesov A.T. Katta o'qituvchi Tashkent State Transport University
№ Name of reference
1 1. Ablyalimov O. S., Lesov A. T. To substantiate the optimal mode of controlling the movement of a freight train on the section Kokand - Andijan of the Uzbek railway. Universum: Technical sciences: electron. scientific magazine - 2022. - no. 11(104). - URL: http://7universum.com/ru/tech/archive/item/ 14619 (date of access: 11/21/2022).
2 2. Ablyalimov O. S., Lesov, A. T. Traction calculations for electric locomotives "Uz-El" on the Kokand - Andijan section of the Uzbek railway. Universum: Technical sciences: electron. scientific magazine - 2022. - no. 11(104). - URL: http://7universum.com/ru/tech/archive/item/ 14558 (date of access: 11/21/2022).
3 3. Baranov L. A., Erofeev E. V., Melyoshin I. S., Chin L. M. Optimization of train traffic control. Moscow, Moscow Institute of Transport Engineers, 2011, 164 p.
4 4. Baranov L. A., Golovicher Ya. M., Erofeev E. V., Maksimov V. M. Microprocessor systems of auto-driving of electric rolling stock. Moscow, Transport, 1990, 272 p.
5 5. Erofeev E.V. Determination of the optimal mode of train driving at a given running time, Vestnik VNIIZHT [bulletin of research institute of railway transport], 1969, no.1, pp.54–57.
6 6. Lesov A. T., Ivashchenko V. O. Optimization of the train movement curve to minimize energy consumption on the basis of the railway of Uzbekistan. Bulletin of the results of scientific research, 2022. - no. 1. - pp. 68-79. DOI: 10.20295/2223-9987-2022-1-68-79.
7 7. Muginshtejn L.A., Ilyutovich A.E., Yabko I.A. Energy-optimal methods of train traffic control, Sb. nauchn. tr. OAO “VNIIZHT”, Moscow, Intekst, 2012, 80 p.
8 8. Petrov Y.P. Variational methods of optimal control theory Moscow, Energy, 1977, 96 p.
9 9. Sadovskij L.E., Pekman E.M., Pekman A.I. About the search for the optimal driving mode of an electric rolling stock, Transport, Moscow Institute of Transport Engineers, 1970, no.310, pp.29–41.
Waiting