Wyniki wyszukiwania - BazTech

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Simulation analysis of the impact of container wagon pin configuration on the train loading time in the intermodal terminal

Nehring Karol, Kłodawski Michał, Jachimowski Roland, Klimek Piotr, Vašek Rostislav

Archives of Transport

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2021

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Vol. 60, iss. 4

155--169

EN

The article presents the issues of a container train loading at the land intermodal terminal. This issue was considered from the point of view of the distance covered by the loading devices and the duration of loading works, which was influenced by the arrangement of containers on the storage yard and the configuration of pins on the wagons. The conducted research was dictated by the small number of publications on loading an intermodal train, especially from the point of view of pin configuration on wagons. The vast majority of the literature is devoted in this field to marine intermodal terminals, which operating characteristics are different from inland terminals. The importance of this problem resulting from the growing turnover of containers transported by rail transport was also pointed out. The systematic increase of this type of transport and the depletion of the intermodal services' operating capability makes it necessary to improve the train loading process. For the purposes of the research, the issues of containers of various sizes loading onto wagons planning with various pin configurations were presented. A literature review was carried out in the field of train loading methods and strategies. A mathematical model was developed for the decision situation under consideration. The equations defining the most important elements of the considered problem were presented in the general form. This model was implemented in the FlexSim simulation environment. The constructed simulation model was used to develop 12 variants of the approach to an intermodal train loading. The train loading tests were performed both for the random arrangement of containers on the storage yard and for the random arrangement of pins on the wagons. The obtained results made it possible to determine how the knowledge of the arrangement of pins on the wagons influences the planning of train loading and increases the efficiency of loading devices.

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Assessment of railway lines: an efficiency rating analysis for baltic countries

Vaičiūnas G.

Transport Problems

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2018

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T. 13, z. 1

49--58

EN

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, indicators of the countries are analysed by the length of Rail Baltica in the country, length falling per million residents in the country, length falling per thousand km of the existing railway, length per area of the county and length falling per country’s gross domestic product (GDP). To generalize them, multi-criteria optimization methods, such the geometric mean method, were used. To answer the question whether the methodology used is adequate, it was tested using the example of the already operating container train Viking. The results of calculations for the previously mentioned criteria are combined with the actual distribution of the freight turnover. A positive conclusion is made about the adequacy of the methodology to assessment of the importance of the railway line for the country.

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Application of artificial neural networks for shortterm prediction of container train flows in direction of China – Europe via Kazakhstan

Abdirassilov Z., Sładkowski A.

Transport Problems

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2018

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T. 13, z. 4

103--113

EN

International container transport plays an important role in the exchange of goods between China and Europe, and accordingly, the efficiency of the transportation increases with the organization of special container lines (land and sea). Owing to its geographical location, the territory of Kazakhstan has become one of the main international landlines for passage of container cargo in recent years. Priority is given to solution of such problems as reduction of cargo delivery time, simplification 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 error signal, was used. A concreto example shows how the ANN training process is conducted and how the adjustable parameters are selected.