title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ¾ÑÐ¼Ð¾Ð·Ð½ÑÑ ÑÐ°ÑÑÑÑÐ¾Ð² Ð¿ÑÐ¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ð¸ ÑÑÐ´ÐµÐ±Ð½Ð¾-ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐºÑÐ¿ÐµÑÑÐ¸Ð· Ð½Ð° Ð¶ÐµÐ»ÐµÐ·Ð½Ð¾Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¼ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐµ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a set of programs for automating brake calculations when conducting forensic technical examinations in railway transport
Creators: name: ÐÑÑÐ°Ð²ÑÐºÐ¸Ð¹, ÐÐ»ÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÑÐ´ÐµÐ±Ð½Ð°Ñ ÑÐºÑÐ¿ÐµÑÑÐ¸Ð·Ð°
ÑÐ¾ÑÐ¼Ð¾Ð·Ð½ÑÐµ ÑÐ°ÑÑÑÑÑ
Ð¼ÐµÑÐ¾Ð´Ñ
RKF45
SQLite
Python
forensic examination
braking calculations
methods

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description: The purpose of the work is to develop a set of programs to increase the reliability of the results of braking calculations, which are currently performed mainly manually when conducting forensic technical examinations in railway transport. To achieve this goal, four methods are proposed: 1. Automation of all stages of calculations: from specifying initial data by executing queries to a reference database (implemented on the SQLite platform) of technical characteristics of locomotives and cars to subject-oriented interpretation of the results obtained using motion graphs and data preparation (in the form of Microsoft format files Word) to form expert opinions. 2. Introduction of both methods recommended by industry standards for calculating the braking distance of rolling stock: piecewise continuous integration over speed intervals and over time intervals. 3. Development of numerical methods for solving both direct and inverse formulations of problems of determining the motion parameters of rolling stock. To solve the direct problem, two methods of numerical integration were chosen, differing in accuracy class - the method of average rectangles and the Runge-Kutta-Fehlberg method of 4th and 5th order. To solve the inverse problem, the bisection method was used. 4. Development of a set of calculation programs in Python. All of the above development areas have been successfully completed. The target set of programs has been approved by the Customer and is ready for trial operation.Â