Study On Simulation Of Facilities And Equipment Layout Optimization In High Speed Railway Hub Station Based On BIM+AnyLogic

In recent years,the total economic output of China has been increasing year by year,and the demand for transportation has also increased.As the "major artery" of transportation in China,railways bear important transportation tasks.The new term "comprehensive transportation hub station" has also emerged with the increasing improvement of the railway network.Comprehensive transportation hub stations play a role in integrating various transportation modes,while also ensuring efficient transfer and dispersion of passenger flow.The layout of facilities and equipment at high-speed rail hub stations is an important factor affecting the overall service level of the hub station,therefore optimizing the layout of facilities and equipment is crucial.Based on the above considerations,this article conducts a simulation study on optimizing the layout of high-speed railway hub facilities and equipment based on BIM+Any Logic.Firstly,an analysis is conducted on the layout of facilities and equipment at high-speed rail hubs,as well as the flow lines of passenger flow.The factors that affect the scale of facilities and equipment are analyzed from four aspects: maximum number of people gathered,peak hour boarding and alighting volume,transportation organization mode,and passenger flow time distribution.The relationship between flow lines and the layout of facilities and equipment is clarified.Through research on high-speed rail hub stations,it has been found that a reasonable number and position of facilities and equipment can improve the transfer efficiency of passengers within the station.Its reasonable layout can reserve more passenger capacity for the hub station in the future.Secondly,taking Xiong’an Hub Station as the research object,a two-stage model was established to optimize the number and position of facilities and equipment on the first floor.In the first stage,the model was established to solve and determine the number of facilities and equipment.In the second stage,the FLP-AR(Facility Layout Problem Attractive Reseller)model was established to optimize the position of facilities and equipment at the hub station,and a differential evolution algorithm was designed to solve the model.Divide the types of facilities and equipment into 13 categories,and categorize the streamline into 16 categories.Apply Python programming to solve the optimized position plan of the facilities and equipment,reducing the total travel distance of passengers by 17.8%.Optimize the layout of facilities and equipment through a two-stage model solution.Then,BIM technology is applied to establish a 3D base map of Xiong’an Station,and the base map is imported into Any Logic simulation software.The optimized facilities and equipment positions are set,and the passenger flow at each entrance is determined.After constructing environmental and behavioral modules,passenger flow simulation is conducted to obtain initial simulation results,including passenger density map,regional density map,average passenger transfer time,and average passenger movement speed.The simulation results show that the eastern resting area on the first floor of Xiong’an Station is the bottleneck point.By increasing the number of facilities within a controllable range,the bottleneck point is optimized,effectively improving the efficiency of passengers during the transfer process.Finally,a service level evaluation system for high-speed rail hub stations was established,and the interval number analytic hierarchy process and fuzzy set were applied to evaluate and study the Xiong’an hub station.The evaluation results showed that the overall service level of the hub was good.