Transport systems

EVALUATION OF THE INFLUENCE OF OPERATING CONDITIONS ON SCENARIOS FOR REDUCED VEHICLE RELIABILITY

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Research article

Меньшикова Т. В.0000-0003-4216-0494
Меньшиков И. А.

Menshikova T. V.
Menshikov I. A.

https://doi.org/10.60797/IRJ.2026.168.35

DOI:

https://doi.org/10.60797/IRJ.2026.168.35

EDN:

XZBPKY

Suggested:

27.02.2026

Accepted:

22.05.2026

Published:

17.06.2026

Issue: № 6 (168), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

PERFORMANCE CHARACTERISTICS OF USED MOTOR OIL IN MOTOR VEHICLES WHEN REPLACED IN ACCORDANCE WITH A FIXED PROCEDURE

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Research article

Павлюков Г. В.
Кривцов С. Н.0000-0003-0462-8455
Кривцова Т. И.0000-0001-9425-2062
Чубов А. А.0009-0007-7649-8887
Иванов А. М.

Pavlyukov G. V.
Krivtsov S. N.
Krivtsova T. I.
Chubov A. A.
Ivanov A. M.

https://doi.org/10.60797/IRJ.2026.166.80

DOI:

https://doi.org/10.60797/IRJ.2026.166.80

EDN:

NPRIES

Suggested:

27.01.2026

Accepted:

10.04.2026

Published:

17.04.2026

Issue: № 4 (166), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

421

SIMULATING OVERCOMING OBSTACLES BY A QUANTOMOBILE

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Research article

Котиков Ю. Г.0000-0001-7532-7380

Kotikov Y. G.

https://doi.org/10.60797/IRJ.2026.167.53

DOI:

https://doi.org/10.60797/IRJ.2026.167.53

EDN:

PMCSYB

Suggested:

28.11.2025

Accepted:

08.05.2026

Published:

18.05.2026

Issue: № 5 (167), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

294

THE EVOLUTION OF INTELLIGENT TRANSPORT SYSTEMS: FROM LOCAL SOLUTIONS TO A UNIFIED TRANSPORT NEURAL NETWORK

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Research article

Куверин И. Ю.0000-0003-2589-8307
Блинов Д. Г.
Гусев С. А.0000-0003-4338-7009
Гусева И. А.0009-0000-8756-1721

Kuverin I. Y.
Blinov D. G.
Gusev S. A.
Guseva I. A.

https://doi.org/10.60797/IRJ.2026.163.11

DOI:

https://doi.org/10.60797/IRJ.2026.163.11

EDN:

LULUPE

Suggested:

14.11.2025

Accepted:

12.01.2026

Published:

23.01.2026

Issue: № 1 (163), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

2065

Machine learning in global supply chain risk management: methods, interpretation and implementation challenges

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Research article

Матвеенко Р. В.0009-0003-2780-2943
Матвеенко В. Н.0000-0002-6142-5710

Matveenko R. V.
Matveenko V. N.

https://doi.org/10.60797/IRJ.2025.162.42

DOI:

https://doi.org/10.60797/IRJ.2025.162.42

EDN:

AXXPUB

Suggested:

29.09.2025

Accepted:

27.11.2025

Published:

17.12.2025

Issue: № 12 (162), 2025

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

569

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