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Research Article | 14-February-2019

APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR SHORTTERM PREDICTION OF CONTAINER TRAIN FLOWS IN DIRECTION OF CHINA – EUROPE VIA KAZAKHSTAN

of customs operations, setting attractive and competitive tariffs, ensuring a high degree of cargo safety, development of transport infrastructure, assessment of the transit potential of railway network of the country, and predicting future cargo flows. This article shows the use of artificial neural networks (ANN) for predicting container train flows in the direction of China – Europe. For this purpose, a three-layer perceptron with a learning algorithm, based on the back-propagation of the

Zhomart ABDIRASSILOV, Aleksander SŁADKOWSKI

Transport Problems, Volume 13 , ISSUE 4, 103–113

Article | 23-March-2018

ASSESSMENT OF RAILWAY LINES: AN EFFICIENCY RATING ANALYSIS FOR BALTIC COUNTRIES

The article investigates a possibility of using the traditional multi-criteria assessment methods to evaluate how significance of a railway line is distributed for the countries it crosses. The article analyses two examples of railway lines: the railway line Rail Baltica (Poland, Lithuania, Latvia and Estonia) and the container train Viking route (Lithuania, Belarus and Ukraine). When investigating for which countries the Rail Baltica project will have bigger significance, and for which smaller

Gediminas VAIČIŪNAS

Transport Problems, Volume 13 , ISSUE 1, 49–58

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