State of the Art in Application of AI Methods for Transport and Logistics
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Keywords

Artifical intelligence, fuzzy logic, transport system, logistics systems, neural networks, IoT - Internet of Things, mathematical model.

How to Cite

Kozák, Štefan, Ružický, E., Štefanovič, J., & Kozáková, A. (2024). State of the Art in Application of AI Methods for Transport and Logistics. Information Technology Applications, 12(2), 13–25. Retrieved from https://www.itajournal.com/index.php/ita/article/view/230

Abstract

Research, development and application of intelligent methods and techniques represents one of the most dynamic factors influencing the quality and safety of processes in transport and logistics. Intelligent information, communication systems represent such complex systems that, using intelligent elements and systems, intelligent control methods and modern information, communication and control technologies using the Internet of Things (IoT), Industrial Internet of Things IIoT, virtual and mixed reality, can ensure and significantly improve the current functionality of transport and logistic systems and processes. This paper addresses the current issue of modeling and intelligent control of complex transportation systems and processes with the support of advanced integrated HW and SW technologies,  artificial intelligence methods, adaptive and self-learning techniques capable effectively improve and optimise the conventional transport and logistic processes.

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