Research On Optimization Method Of Space Performance Of Intercity Railway Underground Station Based On BP Neural Network

With the development of economy,the rapid expansion of urban built-up areas in my country and the increasing demand for motorized travel have seriously affected the efficiency of urban operation and the quality of life.Under the contradiction between urban development and urban space resources,the development of urban underground space Resources are more taken into consideration as railway stations.Since 2020,the construction of "new infrastructure" has received great attention,including inter-city high-speed railways and inter-city rail transit,and there has been a boom in inter-city railway construction in various provinces.However,because the underground intercity railway station is a relatively new form of railway transportation station building,the current station building design mainly draws on subway experience and lacks targeted specifications.In the preliminary investigation,it has been found that there is unreasonable space allocation and passenger flow is obviously congested.The “bottleneck” space and other issues of the city,because most of the intercity railway underground stations operate for a short time,so potential problems also exist.This paper is based on the related theoretical research of space performance,the characteristics and usage of public space of intercity railway underground station,and BP neural network theory.This article takes the small and medium-sized underground stations on the Chengguan Intercity Railway,the Guanhui Intercity Railway,and the Changzhutan Intercity Railway as the main research objects of this thesis;Analyze the influencing factors of the space performance of the underground station,and design the BP neural network structure based on this;prepare based on the relevant technical data,use Anylogic to simulate the setting of simulation parameters,simulate the current station operation and extract ideal samples,and combine the MIV algorithm and data Standardize the sample data screened and preprocessed,build and train the underground station space performance characteristic analysis model.Finally,on this basis,the neural network-based space performance optimization method of intercity railway underground station is summarized,and the space performance optimization process is organized.Analyze the pedestrian traffic efficiency,cross-section passenger flow,equipment service efficiency,and the space density of the station hall floor,and obtain the numerical optimization results.Based on the optimization results,the actual site of the intercity railway underground station is proposed to optimize the plan;the optimization plan is simulated The simulation verifies the feasibility and effectiveness of the spatial performance optimization method for intercity railway underground stations.