Managing Transport Systems with Artificial Intelligence


Babenko V. Mukashev T. Liubokhynets L. Iurchenko M. Yefanov V. Lantrat O. Kovtun Y.
2025University of Tehran

Journal of Information Technology Management
2025#17Issue 213 - 27 pp.

Problems caused by the growth of traffic in cities require modern management approaches to improve the situation with the routing of traffic flow. This article aims to develop a conceptual system that uses computer vision technology to collect and process data from vehicles. It describes the technology of computer vision as an opportunity to improve routing algorithms by processing large data streams that reflect real situations and causes that affect route optimization. The result of using the color vision system is to provide more accurate and timely information to drivers, allowing them to make informed decisions about their routes. This will reduce traffic congestion, improve transport efficiency, and minimize the negative impact on the environment. Copyright

Computer Vision System , Global Positioning System (GPS) , Intelligent System , Light Detection , Ranging (LiDAR)

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V. N. Karazin Kharkiv National University, Kharkiv, 61022, Ukraine
Daugavpils University, Daugavpils, LV – 5401, Latvia
Kharkiv National Automobile and Highway University, Kharkiv, 61002, Ukraine
Department of Economic Sciences, Buketov Karagandy University, Karaganda, Kazakhstan
Department of Economic Theories, Entrepreneurship and Trade, Khmelnytskyi National University, Khmelnytskyi, 29016, Ukraine
Faculty of Marine Technologies and Natural Sciences, Klaipeda University, Klaipeda University, Klaipėda, 92294, Lithuania
Department of Economics and Entrepreneurship, Sumy National Agrarian University, Sumy, 40000, Ukraine

V. N. Karazin Kharkiv National University
Daugavpils University
Kharkiv National Automobile and Highway University
Department of Economic Sciences
Department of Economic Theories
Faculty of Marine Technologies and Natural Sciences
Department of Economics and Entrepreneurship

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