ANALYSIS OF METHODS FOR ASSESSING AND ENSURING THE SAFETY OF CAR OPERATION
The study objective is conditioned by the need to ensure the safety of car operation, which is a key aspect of the efficient and safe functioning of railway transport. With the increasing volume of freight and passenger traffic, the importance of developing and applying methods for assessing and ensuring traffic safety is increasing. To achieve this objective, the following task is defined: to analyze existing methods for assessing the safety of railcars, identifying their advantages and disadvantages, as well as identifying promising areas for improving the reliability of rolling stock operation. The main research method is a comparative analysis of modern methods for assessing the safety of railcars and the identification of key criteria affecting the safety of operation. Special attention is paid to innovative technologies for monitoring and diagnosing the technical condition of cars. The novelty of the work is in the attempt to sort out innovative methods for assessing and ensuring the safety of railcars, as well as in presenting the results of assessing their effectiveness, which makes it possible to identify the most effective approaches and identify areas for their further use and improvement. The study results open up a new direction in improving methods for assessing and ensuring the safety of rolling stock, taking into account trends in scientific and technological progress. The paper materials can be useful to specialists in the field of railway transport, engineers involved in the operation and maintenance of cars, as well as to developers of new technologies for ensuring traffic safety. The results obtained can be applied to increase the level of safety of railway transportation and minimize emergency situations.
Authors
- Mariya Sycheva
- Nikolay Taranov
Institutions
- Russian University of Transport (RU)
Publication Details
- Journal
- Transport engineering
- Published
- 2025-04-12
- DOI
- https://doi.org/10.30987/2782-5957-2025-4-64-73
- Primary Topic
- Engineering Diagnostics and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00