METHODOLOGICAL PRINCIPLES OF OPTIMIZING THE INTERACTION OF TRANSPORT MODES BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Yana Popova State University «Kyiv Aviation Institute»,
  • Yevhen Ukrainskyi State University «Kyiv Aviation Institute»,

DOI:

https://doi.org/10.30888/2663-5712.2025-34-02-008

Keywords:

artificial intelligence, optimization, transport systems, multimodal transportation, machine learning, neural networks, demand forecasting, route optimization, traffic management, integrated transport systems.

Abstract

The article analyzes modern methods of optimizing interaction between different types of transport using artificial intelligence technologies. The research addresses key challenges of transport coordination, such as processing large-scale data, dealing wi

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Published

2025-11-30

How to Cite

Попова, Я., & Український, Є. (2025). METHODOLOGICAL PRINCIPLES OF OPTIMIZING THE INTERACTION OF TRANSPORT MODES BASED ON ARTIFICIAL INTELLIGENCE. SWorldJournal, 2(34-02), 18–27. https://doi.org/10.30888/2663-5712.2025-34-02-008

Issue

No. 34-02 (2025)

Section

Articles

License

Copyright (c) 2025 Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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