ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 5 No. 2 (2020): TTTP - APEIRON

Ljubomir Petrović, Dragutin Jovanović, Tomislav Vujinović, Radovan Petrović

Training of Drivers for Safe Transport of Dangerous Goods

Original scientific paper

DOI: 10.7251/JTTTP2002068P

Abstract

The safety of transporting dangerous goods is conditioned by a number of factors, many of which are significantly influenced by drivers. Drivers, as the central component of human resources, are expected to react appropriately at all times during the performance of their professional activity, in order to prevent the occurrence of a traffic accident or reduce its consequences, thus contributing to the safe transport of dangerous goods. He is expected to assess the situation and make a valid deci- sion in accordance with the set tasks. Due to irregularities and omissions in the work when making an independent decision on how to act in certain moments, the driver directly influenced the occurrence of a large number of accidents. In order to minimize the driver’s failures in the transport process, ap- propriate attention must be paid to their training.

Keywords : dangerous cargo, safe transport, training of drivers.

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. 5 No. 2 (2020): TTTP - APEIRON

Ljubomir Petrović, Dragutin Jovanović, Tomislav Vujinović, Radovan Petrović

Training Of Drivers For Safe Transport Of Dangerous Goods

Original scientific paper

Abstract

The safety of transporting dangerous goods is conditioned by a number of factors, many of which are significantly influenced by drivers. Drivers, as the central component of human resources, are expected to react appropriately at all times during the performance of their professional activity, in order to prevent the occurrence of a traffic accident or reduce its consequences, thus contributing to the safe transport of dangerous goods. He is expected to assess the situation and make a valid deci- sion in accordance with the set tasks. Due to irregularities and omissions in the work when making an independent decision on how to act in certain moments, the driver directly influenced the occurrence of a large number of accidents. In order to minimize the driver’s failures in the transport process, ap- propriate attention must be paid to their training.

Keywords : Dangerous Cargo, Safe Transport, Training Of Drivers.