This article highlights the main problems in the development of urban passenger transport systems and the role of artificial intelligence (AI) technologies in their solution. AI-based systems play an important role in traffic flow management, traffic congestion reduction, traffic speed increase, and passenger flow analysis. The article also analyzes how AI increases the efficiency of the urban transport system through functions such as real-time data processing, route optimization, and service quality monitoring. As a result, the possibilities of sustainable and intelligent management of urban transport infrastructure using AI technologies are shown.

artificial intelligence, urban transport, traffic, passenger flow, optimization, efficiency

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