ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 3 No. 1-2 (2018): TTTP - APEIRON

Stefan Milanković, Dragoslav Mihajlović

Safety Aspects of Freight Traffic in the Republic of Srpska

Original scientific paper

DOI: 10.7251/JTTTP1801055M

Abstract

This paper tries to present the state of traffic safety in the Republic of Srpska based on a sta- tistical sample of traffic accidents involving freight motor vehicles on roads of the Republic of Srpska and Bosnia and Herzegovina. Besides statistics, survey and statistical sample analysis methods were used, as well as analyses of indicators of road worthiness testing station inspections of vehicles in the Republic of Srpska. The indicators of non-regular preventive inspections of roadworthiness tests conducted on the roads by the Auto Moto Association of the Republic of Srpska are especially important. Bearing in mind the age and number of freight motor vehicles in the Republic of Srpska, in accordance with the indicators from chapter 3.4 (Consequence of Traffic Accidents) it is possible to continue the research with a special view on the injuries of the freight vehicle drivers and causes of traffic accidents. According to the data available, most of the fatalities and severe injuries were inflicted to drivers and passengers from vehicles that were involved in accidents with freight vehicles.

Keywords : freight motor vehicle, traffic accident, vehicle road worthiness test, road worthiness testing station.

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.