| Issue |
MATEC Web Conf.
Volume 334, 2021
The VI International Scientific and Practical Conference “Information Technologies and Management of Transport Systems” (ITMTS 2020)
|
|
|---|---|---|
| Article Number | 01038 | |
| Number of page(s) | 7 | |
| Section | Intelligent Transport Systems | |
| DOI | https://doi.org/10.1051/matecconf/202133401038 | |
| Published online | 15 January 2021 | |
Prospects for Reducing Accidents on the Roads of the Russian Federation Using the Scientific and Methodological Approach
1 Belgorod State Technological University named after V.G. Shukhov, 46 Kostyukova str., Belgorod, 308012, Russia
2 Orel State University, 95 Komsomolskaya str., Orel, 302026, Russia
* Corresponding author: shevcova-anastasiya@mail.ru
This article reports the results of an in-depth analysis of the transport situation in the Russian Federation and presents the main programmes, aimed at its improvement. The paper deals with the major ways of reducing risk of traffic accidents and increasing traffic safety. The paper proposes the scientific and methodological approach, providing the specialists with the opportunities of conducting a comprehensive assessment of the causes of emergencies and aiming at eliminating road accidents rates. The origin of the process of an emergency situation occurrence has been investigated and designed, the key components (constituents) of the process have been identified and the basic mechanisms, influencing the basic components, have been analyzed. The algorithm of the application of the proposed and developed scientific and methodological approach at the level of departmental organizations has been suggested. The article describes the mathematical model of the process of emergency situations occurrence, which, together with the applied telematics systems and intelligent transport systems, will help to achieve the basic objectives of the study.
© The Authors, published by EDP Sciences, 2021
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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