Abstract:With the continuous expansion of urban subways and urban planning, there have been some phenomena of the increase in the number of people in earlier subway stations. Aiming at this phenomenon, the reasons for the increase of people flow are systematically analyzed from the inside and outside of the subway station. The principles of optimized mind map and subway re-optimization are put forward by applying industrial engineering methods. Taking the Sports Park Station of Xi'an Metro Line 2 as an example, the full-scale and full-data simulation modeling research was carried out using Anylogic pedestrian library simulation technology. Based on the analysis of the inflow characteristics of the inbound station, the density map was used to block the points and enter and exit the station. Time and service time and its captain are indicators, reflecting the effect before and after optimization. The results show that the flow of inlets on both sides is obviously balanced, and the flow density at the bottleneck is reduced. The pedestrian inspection time on A and D sides is shortened by 4.48min, the stop time is shortened by 4.08min, and the overall outflow time is shortened by 0.62min. Subway re-optimization ideas and case-specific optimization opinions can provide certain solutions for the re-optimization of today's subway stations.