@article{ref1,
title="Semantic model of intelligent railway crossing safety management system",
journal="Transportation research procedia",
year="2022",
author="Davydov, Alexei I. and Sokolov, Maxim M. and Kornienko, Konstantin I.",
volume="61",
number="",
pages="333-339",
abstract="Railroad crossings are the places where railroad tracks and roads intersect. Crossings are a high-risk area for both automobiles and railroads. The research shows that most of the accidents at railway crossings are caused by drivers. The purpose of this article is to study the possibility of building a knowledge base of an intelligent system to analyze the safety level of a railroad crossing. To achieve this goal, the prerequisites for the development of such a base were considered. It has been revealed that a large number of safety violations are recorded at crossings with an operator on duty. To date, there is no centralized system for fixing and analyzing such violations. Fixing violations at the crossings without an operator on duty at the moment is practically not conducted. The factors influencing the violations have been identified. On the basis of the factors the technology of constructing a knowledge base of the intelligent system was considered. This base can be used to analyze the level of safety at railway crossings and will allow combining the currently disparate information about the factors affecting the safety at the crossings. Application of such a database together with the information received from the police will allow predicting the development of the situation at each facility.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2022.01.054",
url="http://dx.doi.org/10.1016/j.trpro.2022.01.054"
}