Intelligent passenger coordination and management of urban rail transit based on network information analysis

In response to the escalating transportation demand in urban areas due to population growth and urbanization, the development and efficient operation of urban rail transit systems have become crucial. This study proposes an innovative approach for intelligent passenger coordination and management in urban rail transit systems by utilizing advanced network information analysis techniques. Through comprehensive evaluation and analysis of the urban rail transit network, this research aims to optimize operational efficiency and improve service quality. By integrating cutting-edge technologies and analytical methods, the proposed methodology addresses existing challenges and improves the overall performance of urban rail transit systems. The study includes a thorough review of related work in intelligent transportation systems, followed by a detailed description of the proposed methodology, focusing on the technical foundations of rail transit networks and intelligent passenger coordination strategies. In addition, the study presents simulation results that demonstrate the effectiveness of the proposed approach in optimizing passenger flow management and improving the travel experience for urban residents.