Simulation and Optimization of Intelligent Evacuation System for Urban Rail Transit Station

Urban rail transit(URT) has become an important tool to improve the efficiency of public travel services due to its large volume, high punctuality rate, and other characteristics. However, URT's transportation organization work is often affected by sudden large passenger flow, resulting in increased system operation risk, especially for the station emergency evacuation process. In order to improve the efficiency of the emergency evacuation system of subway stations under the condition of sudden large passenger flow, taking the South Station of Shen'an Bridge of Lanzhou Rail Transmit Line 1 as an example, an intelligent evacuation system of urban rail transit station was established by AnyLogic according to the actual operation scenario. The bottleneck area restricting the evacuation efficiency of personnel was found by combining the uncertainty theory, and an optimization measure was proposed based on the location of personnel during evacuation to improve the established intelligent evacuation system. The experimental results show that this measure can improve evacuation efficiency by 13.76%. If combined with other measures, the optimal optimization effect of the designed combination scheme can reach 19.37%. The optimization measures and evacuation schemes proposed in this paper can provide decision support for the design and improvement of an URT station evacuation system.