ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 4 No. 1-2 (2019): TTTP - APEIRON

Ljubo Glamočić, Danislav Drašković, Nikola Torbica

The Influence of the Weather Conditions on Traffic Accidents With the Most Severe Consequences in the Republic of Srpska

Original scientific paper

DOI: 10.7251/JTTTP1901016G

Abstract

Traffic accidents with the most severe consequences, i.e. killed in traffic accidents and great material damage, are the result of numerous complex impact factors. Among these important factors, there are different time parameters, that is, meteorological parameters. Research on the impact of weather parameters on the occurrence of traffic accidents was the subject of research in the early 70s of the twentieth century. Weather conditions usually have a double impact on the occurrence of traffic accidents such as: the impact on the risk of a traffic accident and the impact on the exposure to the risk of an accident. In other words, it can be said that the time parameters influence directly and indirectly on the safety of traffic, or the occurrence of traffic accidents. Namely, it has been proven that the weather conditions influence the change in the structure of the traffic flow (change of mode of transport), as well as the total number of realized trips. Although the impression is that the impact of weather conditions on the occurrence of traffic accidents is unambiguous and clear, concrete re- search on the impact of weather conditions is quite rare and the results sometimes differ from the ex- pected ones. Through a review report, a special aspect of the analysis will focus on identifying concrete changes in the characteristics of time, with the aim of recognizing their impact on the number of traffic accidents with the most severe consequences in the Republic of Srpska.

Keywords : тraffic accidents, weather conditions, safety on traffic.

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.