Work

Comparative Analysis of Forming Technology Multi-group Trains on Different Sorting Devices

Year: 2024
Type: article
Abstract: Purpose. The purpose of the work is a comparative analysis of the multi-group trains forming technology on various sorting devices for solve the task of choosing the best sorting device depending on the initial conditions (combination of train and sorting devices parameters) using both one-sided and two-sided methods of forming such trains. Method. The methods of combinatorics, mathematical statistics and simulation modeling were used for comparative analysis of the of forming multigroup trains methods. The formalization of both classical one-sided and adapted two-sided formation methods was taken from published scientific publications. Results. An illustration of the use of one-sided and two-sided forming methods for real trains allows a better understanding of the reason for the superiority of some methods over others for certain initial conditions. As a result, with the help of a simulation model, the time indicators of the formation of multi-group trains were obtained for various initial conditions, the comparison of which allows to establish the best option for the implementation of the technology of the formation of multi-group trains. Practical importance. The performed analysis allows to choose the best method for each specific case of the initial conditions which will speed up the formation process and reduce the idling time of local cars at the stations. For this purpose, it is advisable to include the specified forming algorithm in the station dispatching staff decision-making support system, which based on the data about the cars parameters and given classification tracks specialization that used to form such trains, will allow to obtain the time parameters of train forming in different ways and choose the best of them (for example, with the minimum duration of the train formation), for which a shunting work plan will be offered.
Language: English
Open Access status: diamond
OpenAlex ID: W4403041335
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