USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE ROUTING AND FLEET MANAGEMENT IN INTELLIGENT TRANSPORT AND LOGISTICS SYSTEMS

Authors

  • Yedl Beisembayev Engineer, Kazakhstan Author

Keywords:

Artificial intelligence, intelligent transport systems, transport and logistics systems, routing optimization, fleet management, machine learning, reinforcement learning, predictive analytics, big data, digital transformation

Abstract

This article explores the application of artificial intelligence technologies to routing optimization and fleet management in intelligent transport and logistics systems. It presents the historical evolution of transportation planning methods from classical operations theory models to modern machine learning and reinforcement learning algorithms. Architectural principles for building intelligent fleet management systems are discussed, including the levels of data collection, processing, and analysis.

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Published

2025-05-31

Issue

Vol. 1 No. 2 (2025)

Section

Articles

License

Creative Commons License

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

How to Cite

USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE ROUTING AND FLEET MANAGEMENT IN INTELLIGENT TRANSPORT AND LOGISTICS SYSTEMS. (2025). Modern American Journal of Engineering, Technology, and Innovation, 1(2), 321-331. https://usajournals.org/index.php/2/article/view/2267