TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 7 No. 1 (2022): TTTP - APEIRON

Zoran Injac, Danislav Drašković, Goran Amidžić

The Impact of Freight Vehicle Load on the Condition of Roads in Bosnia and Herzegovina

Original scientific paper

DOI: 10.7251/JTTTP2201033I

Abstract

The number of registered commercial freight vehicles in Bosnia and Herzegovina has been increasing over the years, which affects the traffic load and the condition of roads, especially in Bosnia and Herzegovina. Vehicle overloading is considered to be one of the biggest causes of damage to part of the road surface, especially with regard to the load-bearing road substructure. The focus of the research is the vehicle overloading on the roads of Bosnia and Herzegovina, with special emphasis on determining the type and degree of overloaded vehicles and determining the equivalence factor (EF). In the research phase, data from weighing control stations were used, taking into account the total weight of vehicles, the distribution of total weight on vehicle axles and the equivalent standard axle load for a particular vehicle type over a period of two years. A high degree of overloading was found, especially 5-axle vehicles (58.7%). The level of overloading in the range of 10-20% in relation to the maximum al- lowed weight is especially apparent. The calculated EF is 3.64 and is higher than the standard EF.

Keywords : vehicle overloading, design road pavement, axle weight.

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. 7 No. 1 (2022): TTTP - APEIRON

Zoran Injac, Danislav Drašković, Goran Amidžić

The Impact Of Freight Vehicle Load On The Condition Of Roads In Bosnia And Herzegovina

Original scientific paper

Abstract

The number of registered commercial freight vehicles in Bosnia and Herzegovina has been increasing over the years, which affects the traffic load and the condition of roads, especially in Bosnia and Herzegovina. Vehicle overloading is considered to be one of the biggest causes of damage to part of the road surface, especially with regard to the load-bearing road substructure. The focus of the research is the vehicle overloading on the roads of Bosnia and Herzegovina, with special emphasis on determining the type and degree of overloaded vehicles and determining the equivalence factor (EF). In the research phase, data from weighing control stations were used, taking into account the total weight of vehicles, the distribution of total weight on vehicle axles and the equivalent standard axle load for a particular vehicle type over a period of two years. A high degree of overloading was found, especially 5-axle vehicles (58.7%). The level of overloading in the range of 10-20% in relation to the maximum al- lowed weight is especially apparent. The calculated EF is 3.64 and is higher than the standard EF.

Keywords : Vehicle Overloading, Design Road Pavement, Axle Weight.