ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 2 No. 1-2 (2017): TTTP - APEIRON

Miroslav Đerić, Milan Tešić, Bojan Marić, Zoran Andrić

RSI implementation in the countries of the region

Original scientific paper

DOI: 10.7251/JTTTP1701016DJ

Abstract

As early as 2001, the Europeen Commision expressedin its White Book the need for assessing the impacts on road safety and conducting road traffic safety inspections with the aim of reducing the number of fatalities in car crashes from 2001 to 2010. In this context, the Directive 2008/96/EC on road infrastructure safety was issued. The purpose of this Directive was to ensure higher level of traffic safety during all phases of the road life cycle, from its planning, designing, constructing to the maintanance of the road already in operation.

The said Directive requires for procedures relating to the Road Safety Impact Assessment (RSIA), Road Safety Audit, Network Safety Management (NSM) and ranking of high accident concentration sections (Black Spot Management) and Road Safety Inspection (RSI) to be established and implemented.

This paper aims at showing the current state of affairs in countries of the region with regard to the implementation of the road safety inspections.

The results of this paper will provide the scientific and expert public with insights into the state of trafic safety of the region’s countries with regard to Road Safety Inspection.

Keywords : inspection, road, traffic safety.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.