Analysis And Optimization Of Evacuation Organization Of Urban Rail Transit Hub Station

Urban rail transit attracts a large number of passengers due to its own advantages,and the rapidly growing passenger flow brings great pressure to the organization of station passenger flow and the safety of train operation.Urban rail transit hub stations are typical and representative,with complex layout structure,large and concentrated passenger flow.Once an emergency occurs,it will pose a huge threat to the personal safety and property of passengers,Therefore,developing a detailed and safe and efficient evacuation organization optimization plan is of great significance for ensuring passenger safety,safe and smooth operation of rail transit,and stable socio-economic development.In response to the above analysis,this article provides a detailed analysis of the evacuation process of urban rail transit hub stations,with the aim of ensuring the safe and rapid evacuation of passengers within the hub stations,and proposes a reasonable,effective,and implementable evacuation organization optimization plan.Firstly,a K-S test was conducted on the pedestrian service time data obtained from on-site research to obtain the distribution function of pedestrian service time at various devices.MATLAB software was used to fit the "speed density" relationship curve of pedestrian ascending and descending stairs.The distribution characteristics of passenger flow at the hub station were analyzed from both time and space perspectives,and the characteristics of passenger flow streamline inside the hub station were analyzed in detail,The bearing capacity of the hub station is defined and the computational mathematics model of the bearing capacity is established.Secondly,analyze the causes of evacuation bottlenecks in hub stations and provide bottleneck determination methods.Design 11 optimization plans for evacuation organization from three aspects: facilities and equipment,passenger flow lines,and traffic organization.Use AnyLogic software to conduct simulation experiments on the plans.Through simulation results,it was found that increasing the passenger detour distance,physically segmenting the travel area,and optimizing the flow line can reduce the intersection points of passenger flow lines;Increasing traffic capacity can alleviate the phenomenon of excessive local passenger flow density;Balancing the proportion of escalators used in a building can balance the distribution of the number of escalators in the building;Shortening the departure interval can reduce the number of passengers on the platform.Based on the above results a generally applicable evacuation organisation optimisation scheme is summarised.Then,taking a certain urban rail transit hub station as an example,a layout plan of the hub station is drawn in AutoCAD.Based on this,a physical model of the station is established in AnyLogic software.Parameter calibration is carried out based on actual data,and a logical model for pedestrian entry and exit,transfer,and evacuation processes is established using Java language.Monte Carlo simulation experiments are conducted 50 times,and it is found that the actual service time of pedestrians is within the confidence interval of the simulation results,Verified the effectiveness of the simulation model.Finally,calculate and analyze the carrying capacity of the hub station,preliminarily determine the evacuation bottleneck,and propose optimization suggestions.In this context,conduct simulation experiments on the large passenger flow evacuation and emergency evacuation processes of the hub station.Analyze the simulation results,identify the existing problems,and develop optimization plans separately before conducting the simulation again.The results show that during the evacuation of large passenger flow,the optimized platform waiting passenger flow decreases by 18.2%,the distribution of platform passengers tends to balance,and the intersection of passenger flow lines at the station hall level disappears;During emergency evacuation,the optimized platform evacuation efficiency increased by 21.4%,the average evacuation time of the station decreased by 39.2 seconds,and the evacuation efficiency increased by 10.2%.All evacuation bottleneck facilities were identified as non evacuation bottlenecks,verifying the effectiveness and practicality of evacuation optimization measures.