SHS Web Conf.
Volume 112, 2021Northern Sustainable Development Forum 2020
|Number of page(s)||5|
|Published online||23 June 2021|
Assessment improvement of road accidents on highways of the Far North as the basis for sustainable regional development
Volgograd State Technical University
2 Volgograd Scientific and Technological Center
3 State Owned Public Enterprise of Volgograd region «Directorate of highways»
4 Volzhsky Polytechnic Institute
5 Russian Transport University
* Corresponding author: email@example.com
The paper substantiates the need to assess the road safety in the specific conditions of the Far North by means of the analysis of the factors in the “driver-car-road-environment” system. The authors suggest a methodology for assessment of road traffic accidents, which makes it possible to take into account a wide range of factors affecting road accidents. In particular, the simulation takes into account the characteristics of the driver, technical condition of the vehicle, road conditions, weather and climate. Adaptive neural networks based on fuzzy inference systems are used as a tool for road safety assessment. The authors mention the results of statistical studies on a number of variables of the “driver-car-road-environment” system, which make it possible to form membership functions in the fuzzy inference system. The final part of the paper presents the practical results of road safety assessment for various categories of drivers in different road conditions in one of the largest cities in the Far North.
© 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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