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

Jusuf Borić, Fuad Klisura

The impact of the application of technological solutions in passenger transport on the environment

Original scientific paper

DOI: 10.7251/JTTTP1701042B

Abstract

The main objective was to reduce the retention time at the bus stops, time for drivers’ ad- ministrative actions, fuel consumption, air pollution emissions of SO2 and to increase the solvency of the company.

For the realization of the set objectives it was needed: to introduce electronic billing system with the use of contactless- chip card as a monthly ticket, all vehicles will be equipped with electronic conditions for the sale of individual tickets and recording contactless – chip card and receive training for direct partcipants.

All vehicles are equipped with electronic conditions for the sale of individual tickets and recording con- tactless- chip card. All the participants involved in the use of electronic ticketing systems are trained and equipped with the necessary means.

The result of the introduction of electronic toll collection system is to reduce: the retention time at the bus stops and to ensure good performance of administrative driver. The importance of introducing elec- tronic toll collection system is the reduction of fuel consumption, air pollution emissions of SO2, faster handover and discharge of collected cards and increase the solvency of the company.

Keywords : electronic payment system, contactless smart cards, emissions, solve.

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.