Modeling And Simulation Of Pedestrian Behaviors In The Subway Station Based On Hybrid Model

Recently,with the advantages of safety,convenience,efficiency,environmental protection,urban rail transit has become the main way of transportation.With the development of urban rail transit,the safety problem is becoming more and more obvious.Once an accident occurs,serious consequences may be caused due to the incomplete evacuation plan,flawed designs,and human incidents.Therefore,how to improve the operational efficiency of subway station under large pedestrian flow and decrease the evacuation time of emergency evacuations have become the most exciting topics in the field of urban rail transit pedestrian emergency evacuation.However,the traditional modeling and calculation methods are difficult to simulate pedestrian behaviors of the real subway station,therefore,the behaviors of pedestrians in subway stations and several issues of emergency evacuation for urban rail transit are studied based on the hybrid model of social force model and Agent model.The main works are as the following:Firstly,according to the analysis of pedestrian boarding and alighting behaviors in subway stations,pedestrian boarding and alighting time prediction model is proposed.The influences of different types of queues on pedestrian boarding and alighting time are further studied.Considering pedestrian queuing behaviors,pedestrian boarding and alighting time prediction model is improved.The congestion degree is proposed and defined as an indicator to measure the interaction of boarding and alighting time and platform density in peak hours.The results show that the relationship between pedestrian boarding and alighting time and the number of boarding and alighting pedestrians presents complex non-linear relationship,pedestrians’ queuing behaviors can contribute to the improvement of pedestrian boarding and alighting efficiency and the type of two queues is most effective,the proposed model can effectively predict pedestrian boarding and alighting time in peak and off-peak hours.Secondly,considering the overall requirement,the subway station artificial system is designed.The basic principle and methods of system module design,flow design and subway station scene design are introduced.The subway station artificial system is established based on the hybrid model of social force model and Agent model.The framework of the system and the logical flow of subway station are designed.Combined with the actual survey data,the design of subway station scenarios is completed,which includes three kinds of scenarios:physical environment of subway station,train operation and pedestrian movement.The parameters of station,train and pedestrian are configured.Finally,based on the basic data of one subway station,several functional modules of system are implemented.The E-R model of database is used to implement the data tables of train,pedestrian and subway station.Calculated experiments of emergency evacuation under typical scenarios are designed based on the hybrid model of social force model and Agent model.The performance of the system is tested and verified according to the calculated experiments.The result shows that the system can not only effectively simulate pedestrian behaviors of subway stations,but also evaluate emergency plans and provide bases for the research of urban rail transit emergency evacuation.