Intelligent transport systems

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

PDF XML

Research article

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)

1462

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

PDF XML

Research article

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)

371

Model of rolling stock state identification during its movement on the basis of optical sensor

PDF XML

Research article

Alekseev V. M.

Kuznetsov V. I.

DOI:

https://doi.org/10.60797/IRJ.2025.153.117

EDN:

NCWJYR

Suggested:

09.12.2024

Accepted:

05.02.2025

Published:

17.03.2025

Issue: № 3 (153), 2025

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

647

A method for generating geo-referenced a priori and reference occupancy maps using semantic information

PDF XML

Research article

DOI:

https://doi.org/10.60797/IRJ.2024.148.134

EDN:

NAAFXR

Suggested:

18.09.2024

Accepted:

14.10.2024

Published:

17.10.2024

Issue: № 10 (148), 2024

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

1247

Two-level structure of building information protection in a corporate network on the basis of full connectivity

PDF XML

Research article

Alekseev V. M.

Chichkov S. N.

DOI:

https://doi.org/10.60797/IRJ.2024.148.64

EDN:

CNLFGA

Suggested:

13.08.2024

Accepted:

03.10.2024

Published:

17.10.2024

Issue: № 10 (148), 2024

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

932

of 2

Show by

IRJ is a peer-reviewed scientific journal that provides an opportunity to publish their scientific achievements to graduate students, academic staff, students, people with an academic degree and other interested parties.