地铁客流诱导方案优化研究OA

This study takes the Xi'an Metro network as the research object and explores optimization strategies and practical methods for the metro passenger flow guidance system.With the continuous improvement of urban rail transit networks and the sustained growth of passenger flow,metro systems are facing challenges such as peak-hour congestion,low transfer efficiency,and increased safety risks.According to the passenger flow characteristics of Xi'an Metro,this research analyzes multiple factors affecting passenger flow,including the built environment,transportation connections,and station attributes.By examining the existing passenger flow guidance measures and their limitations in Xi'an Metro,optimization strategies based on intelligent technologies are proposed,such as data-driven guidance,multi-modal coordinated guidance,and differentiated service guidance.The study demonstrates that an effective passenger flow guidance system can not only improve transportation efficiency but also enhance the passenger experience,providing theoretical support and practical references for the construction of smart metro systems in the future.