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At present, urban rail transit is faced with multiple problems such as aging infrastructure, backward technology and high management cost. The research topic of this paper is intelligent rail transit operation and maintenance. Through intelligent means, a large amount of equipment data can be obtained, new applications of equipment can be deeply explored, operations can be optimized, and traffic efficiency can be improved. The system introduces advanced technology and data analysis, enabling real-time monitoring of train operations, passenger services and equipment maintenance. The result is a highly intelligent transportation ecosystem that improves overall efficiency and safety. In addition, actively exploring the application of intelligent operation and maintenance of rail transit can promote technological innovation. The conclusion shows that intelligent operation and maintenance can provide a new idea for urban traffic and has a broad application prospect. This study has far-reaching significance for the sustainable development of urban transportation, and provides theoretical support and practical reference for building a more intelligent and efficient transportation system.
Yixin Qi (Fri,) studied this question.