Issue |
MATEC Web Conf.
Volume 239, 2018
Siberian Transport Forum - TransSiberia 2018
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 9 | |
Section | Traffic Management and Safety | |
DOI | https://doi.org/10.1051/matecconf/201823902007 | |
Published online | 27 November 2018 |
Integrated safety system for workers and traffic in railway transport
Siberian Transport University, Dusi Kovalchuk st., 191, 630049, Novosibirsk, Russia
* Corresponding author: nushaa1@mail.ru
The safety and stability of the transportation process in railway transport is provided by a set of various measures. However, violations, incidents and accidents continue to occur, causing significant damage to workers, infrastructure, natural environment, and population. The relevance of the study is determined by the need of finding ways to prevent this damage and reduce the socio-economic and environmental costs. The purpose of the study is the development of an integrated safety system for traffic and workers in railway transport. A set of theoretical and experimental research methods has been applied: physical, simulation and computer modeling; statistics, theory of probability and others. The main result of the development is a complex system of interrelated units: “Sphere of activity”; “Qualification of personnel”; “The required level of work”; “Rating of danger”; “Optimization and technical and economic assessment of company costs”. Requirements for an information management system were developed for the holding company “Russian Railways”. This system allows personal accounting of the qualifications of employees (over 900 thousand) in the main areas of activity: ensuring traffic safety; occupational safety and health; transport, industrial, fire and electrical safety; protection in emergency situations. The project of the normative and technical document regulating the corresponding changes is substantiated. On the basis of theoretically processed experimental material, the expected development efficiency was established: 8-10%.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.