Conceptual Framework for Implementing Artificial Intelligence in the Management of Urban Transport Complex

The article is devoted to the implementation of artificial intelligence (AI) technologies in the management of information support for the Moscow transport complex. The most important functions of AI technologies are automatic detection of traffic violations, adaptive control of traffic lights; constant monitoring of the road situation in real time, timely informing road users about the current situation on the roads, public transport and availability of free parking spaces. Successful implementation of these functions requires a well-developed IT infrastructure, ensuring the integration of data from various sources, and the development of an appropriate regulatory framework governing the use of AI technologies. The introduction of intelligent technologies into the management of the transport complex allows creating a safer, more efficient and user-friendly transport environment, which ultimately contributes to improving the quality of life in modern cities. Moscow's experience in applying AI technologies to manage the transport complex has confirmed their high efficiency, creating the basis for the dissemination of similar solutions in other regions of Russia.

artificial intelligence, intelligent transport system, transport complex, information support, information system, digitalization