Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies

Aleksandr Badeckiy; Oksana Medved'; Yana Kukushkina

doi:10.20295/2223-9987-2023-3-32-45

UDC 656.2

TAKING INTO ACCOUNT THE VARIABLE NATURE OF THE CALCULATION STANDARDS OF THE TRAIN FORMATION PLAN USING COMPUTATIONAL INTELLIGENCE TECHNOLOGIES Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies

АА Аа

Published in Bulletin of scientific research results · Volume 2023, Issue 3 · Pages 32–45 · Rubric: PROBLEMATIC OF TRANSPORT SYSTEM

DOI: https://doi.org/10.20295/2223-9987-2023-3-32-45

Received: 22.09.2023 Accepted: 26.09.2023 Published: 26.09.2023

Authors

Aleksandr Badeckiy

Oksana Medved'

Yana Kukushkina

Aleksandr Badeckiy

Academic degree: candidate of technical sciences

Emperor Alexander I St. Petersburg State Transport University Associate Professor · Russian Federation · St. Petersburg

Oksana Medved'

Academic degree: candidate of technical sciences

Emperor Alexander I St. Petersburg State Transport University Assistant Professor · Department of Logistics and Commercial Work · Russian Federation · Saint-Petersburg

Yana Kukushkina

Academic degree: candidate of technical sciences

Science rang: docent

Emperor Alexander I St. Petersburg State Transport University Associate Professor · Department of Operational Work Management · Russian Federation · Saint-Petersburg

ABSTRACT

Purpose: The train formation plan is the most important logistics tool for cargo transportation management. But the use of discrete values of design standards in its development — the quantity of car-hours for the accumulation of trains and savings from passing of cars through technical station without processing — do not always guarantee the optimal solution due to the objectively existing unevenness of operational work. It is precisely this factor that generates uncertainty, which is not inherently stochastic, and necessitates adjustments to the train formation plan throughout its lifecycle. In addition to fluctuations in car traffic, it causes a change in the values of the calculated standards. To manage such uncertainty, there are special methods, one of which is fuzzy logic. The article describes a way to account for changes in all calculation standards of the train formation plan. Methods: The methods of one of the technologies of computational artificial intelligence are used — fuzzy logic, fuzzy sets and fuzzy mathematics. Results: The dependence has been established on how changes in the calculated parameters of the train formation plan are affected by fluctuations in car flows on specific destinations. The formulas obtained on the basis of known analytical expressions allow us to determine the values of the standards of the formation plan without using auxiliary tables and graphs. Practical significance: The use of the obtained dependencies in the development of the formation plan will improve the accuracy of its calculation by taking into account fluctuations not only of car traffic, but also the values of the calculated standards depending on them.

KEYWORDS

Computational intelligence, fuzzy sets, fluctuations of car traffic, the system of car traffic organization

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GOST

Badeckiy A. P., Medved' O. A., Kukushkina Y. V. Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies // Bulletin of scientific research results. 2023. no. 3. pp. 32-45. DOI: https://doi.org/10.20295/2223-9987-2023-3-32-45. (Date of access 02.11.2026).

MLA

Aleksandr Badeckiy, Medved' O. A., Kukushkina Y. V.. "Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies." Bulletin of scientific research results 2023.3 (2023): 32-45. DOI: https://doi.org/10.20295/2223-9987-2023-3-32-45.

APA

Badeckiy A. P., Medved' O. A., Kukushkina Y. V. (2023). Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies. Bulletin of scientific research results, 2023(3), 32-45. https://doi.org/10.20295/2223-9987-2023-3-32-45

Chicago

Aleksandr Badeckiy, Medved' O. A., Kukushkina Y. V.. "Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies." Bulletin of scientific research results 2023, no. 3 (2023): 32-45. https://doi.org/10.20295/2223-9987-2023-3-32-45.

WIKI

{{cite journal | author = Badeckiy A. P., Medved' O. A., Kukushkina Y. V. | title = Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies | journal = Bulletin of scientific research results | year = 2023 | volume = 2023 | issue = 3 | pages = 32-45 | doi = 10.20295/2223-9987-2023-3-32-45 }}

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TAKING INTO ACCOUNT THE VARIABLE NATURE OF THE CALCULATION STANDARDS OF THE TRAIN FORMATION PLAN USING COMPUTATIONAL INTELLIGENCE TECHNOLOGIES Taking into Account the Variable Nature of the Calculation Standards of the Train Formation Plan Using Computational Intelligence Technologies

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