The article examines the role of artificial intelligence (AI) in overcoming the fragmentation of transport systems. The methods of data integration, risk prediction, and adaptive management that allow combining disparate elements into a single ecosystem are analyzed. Practical examples from Singapore and Scandinavian countries demonstrate a 20-30% reduction in accident rates and optimization of traffic flows. The effectiveness of AI solutions depends on the technological readiness of the infrastructure, which requires phased implementation and development of hybrid mod-els. Ethical and regulatory aspects of AI application in the transport sector are also considered.
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Vasilievich et al. (2025) studied this question.
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