Integration of artificial intelligence into railway transport: challenges, opportunities and development prospects

The article considers the issues of integration of artificial intelligence (AI) into the sphere of railway transport, including the analysis of current challenges, opportunities and prospects for further development. Particular attention is paid to the impact of AI technologies on improving the efficiency, safety and sustainability of transport systems. Key areas of AI application are described, such as forecasting the technical condition of infrastructure, automation of traffic control, schedule optimization and improvement of passenger service. Potential risks associated with the implementation of these technologies are also considered, including data security, human-operator interaction and regulation. The article highlights the prospects for the development of AI in railway transport, as well as the role of public and private initiatives in the formation of innovative solutions for the effective implementation of smart transport systems.