Abstract

Purpose. The article developed the structure of a new intellectual information technology for the formation of multi-group railway trains at the sort stations. The technology is distinguished by the use of intelligent systems methods in solving combinatorial problems of optimal disbanding - forming. Methods. The studies were carried out on the basis of system analysis and modeling of the processes of disbanding the train with different structures, number and partial coincidence of groups of wagons in trains. Results. The basic structure of intellectual information technology of forming multi-group trains has been created. Coding templates for multi-group trains designed to form knowledge bases of information technology have been developed, models for the processing of wagon traffic have been defined. Scientific novelty. We have developed models and methods for solving problems of optimal formation of multi-group train. For the first time has been developed the structure and model of intellectual information technology for the formation of multi-group compositions. Practical significance. Intellectual information technology will provide an increase in the efficiency of planning the processes of disbanding multi-group trains, unify calculations of similar data, improve automation systems, and allow planning the operation of sorting stations of a particular railway direction.

Highlights

  • The article developed the structure of a new intellectual information technology for the formation of multi-group railway trains at the sort stations

  • Coding templates for multi-group trains designed to form knowledge bases of information technology have been developed, models for the processing of wagon traffic have been defined

  • We have developed models and methods for solving problems of optimal formation of multi-group train

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Summary

Introduction

The article developed the structure of a new intellectual information technology for the formation of multi-group railway trains at the sort stations. . +38 (056) 373-15skalozub.vl.v@gmail.com, Scopus Author ID: 15731663600, ORCID– 0000-0002-1941-4751

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