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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.

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  • DOI
  • Date of creation in the UzSCI system 16-04-2024
  • Read count 80
  • Date of publication 30-06-2023
  • 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.

Ўзбек

Poezd harakati egri chiziqlari temir yo'llardan foydalanishda va tadqiqot dasturlarida keng qo'llaniladi, masalan, poezdlarning unumdorligini hisoblash, harakatlanish vaqtini baholash, yoqilg'i va elektr energiyasini sarfini baholash, o'tkazish qobiliyatini tahlil qilish, poezdlar harakatini rejalashtirish, yangi marshrutni rejalashtirish, eski marshrutni modernizatsiya qilish va boshqalar. Poezd harakati juda murakkab va ko'plab omillar bilan tartibga solinadi. Natijada, aniq va oqilona harakat egri chizig'ini analitik yondashuvlar yordamida osongina olish murakkab masala hisoblanadi. Bu ko'p vaqt talab qiladigan ish bo'lgani uchun, zamonaviy yondashuv bunday hisob-kitoblarni amalga oshirish uchun poezdning ishlash simulyatorini yaratishni taqozo qiladi. Ko'pgina kompyuter modellari ishlab chiqilgan va ularning ba'zilari tijorat dasturiy ta'minotiga aylangan bo'lsa-da, ularning hisoblash algoritmlari tijorat sirlari bo'lganligi sababli ommaga oshkor etilmaydi. Xususan, ular amaliy qoidalarni hisobga olmasligi mumkin va ularni ma'lum bir temir yo'l tizimlariga joriy etish qiyinlik tug'diradi.

№ Author name position Name of organisation
1 Lesov A.T. Katta o'qituvchi Tashkent State Transport University
№ Name of reference
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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.
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