Issue |
MATEC Web Conf.
Volume 239, 2018
Siberian Transport Forum - TransSiberia 2018
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 7 | |
Section | Traffic Management and Safety | |
DOI | https://doi.org/10.1051/matecconf/201823902003 | |
Published online | 27 November 2018 |
Traffic safety management based on integrated assessment of safety level
Russian University of Transport (MIIT), 9b9 Obrazcova Street, Moscow, 127994, Russia
* Corresponding author: Philipp.sukhov@mail.ru
The volumes of freight and passenger traffic on the railways of the Russian Federation are increasing every year. Along with the increase in the transportation work, the likelihood of occurrence of undesirable incidents in railway transport increases. The assessment of the level of comprehensive (integrated) safety is an important scientific and technical problem in the current conditions of the functioning of railway transport. The methods used to assess the level of safety do not always meet the requirements of complexity in view of comparison of various-scale violations of traffic safety (crash, accident, faulty operation). The paper proposes a mathematical method for assessing the level of integrated safety in railway transport and calculation of the safety index of train traffic. For the calculation, statistical data for a certain period are used. These data summarized in a specialized dictionary of traffic safety violations, the mathematical treatment of which provides information on the level of integrated safety in railway transport in the Russian Federation. The proposed index allows determining the effectiveness of management decisions in the field of train traffic safety, as well as assessing the effectiveness of implementing certain innovations in the field of traffic safety. It is possible to use data on integrated traffic safety to reduce insurance premiums for cargo insurance on railways.
© 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.
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