ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 6 No. 2 (2021): TTTP - APEIRON

Siniša Arsić, Velibor Peulić, Dragutin Jovanović, Miloš Arsić

Key Impacts on Environmental Improvements in Case of Road Transport Companies

Original scientific paper

DOI: 10.7251/JTTTP2102075A

Abstract

This research includes the analysis of key impacts on environmental improvements, which are engaged in road transport of cargo or passengers. The basic assumption of this paper is that the level of fulfilment of environmental standards (measured by decreasing emissions of harmful gasses) is largely conditioned by the external influences, such as business strategy, performance or logistics manage- ment activities. The main goal of this paper is to theoretically identify key impact in the case of transport companies when it comes to potential for improvements of environmental indicators. Improvements for the living environment can be caused by fleet renewal, tighter vehicle lifecycle management and via different government regulations. Key findings suggest that the fact whether a road transport company does business internationally. Future research involves extending this sample of road transport compa- nies to all Balkan countries, who are members of the EU or are candidate countries. Additionally, future research should be including additional environmental indicators that are not conventionally measured during vehicle inspections.

Keywords : logistics, road transport company, sustainability.

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. 6 No. 2 (2021): TTTP - APEIRON

Siniša Arsić, Velibor Peulić, Dragutin Jovanović, Miloš Arsić

Key Impacts On Environmental Improvements In Case Of Road Transport Companies

Original scientific paper

Abstract

This research includes the analysis of key impacts on environmental improvements, which are engaged in road transport of cargo or passengers. The basic assumption of this paper is that the level of fulfilment of environmental standards (measured by decreasing emissions of harmful gasses) is largely conditioned by the external influences, such as business strategy, performance or logistics manage- ment activities. The main goal of this paper is to theoretically identify key impact in the case of transport companies when it comes to potential for improvements of environmental indicators. Improvements for the living environment can be caused by fleet renewal, tighter vehicle lifecycle management and via different government regulations. Key findings suggest that the fact whether a road transport company does business internationally. Future research involves extending this sample of road transport compa- nies to all Balkan countries, who are members of the EU or are candidate countries. Additionally, future research should be including additional environmental indicators that are not conventionally measured during vehicle inspections.

Keywords : Logistics, Road Transport Company, Sustainability.