轨道交通车站客流集散能力仿真及评估

为优化城市轨道交通车站服务设施设计,研究车站服务设施对客流集散的影响,基于随机服务理论描绘车站客流集散过程,并利用设施服务强度、设施协调度和设施服务水平等级对集散情况进行评估。以轨道交通车站内各类服务设施为建模对象,考虑设施服务及客流到达规律,基于随机服务理论,分别构建服务型设施、通过型设施、集散型设施随机服务模型,并通过Simulink仿真平台建立车站客流集散随机服务网络模型,通过行人跟随实验获得的实测数据验证模型的有效性。同时模型还可通过更改到达和服务分布、服务台等参数,实现对不同车站的仿真,无需重新建模,具有较好的普适性。

Urban Rail Transit Station Passenger Flow Simulation Based on Stochastic Service Network

In order to optimize the design of urban rail transit station service facilities, the influence of station service facilities on passenger flow distribution was studied. The process of passenger flow distribution is described using stochastic service theory and the passenger flow distribution is evaluated using the traffic intensity and coordination degree of facilities. In this paper, the service facilities of a rail transit station are selected as the modeling object. After considering the rule of facility service and passenger arrival, three stochastic service models of service-oriented facilities, transit-oriented facilities, and distribution-oriented facilities are constructed using stochastic service theory; subsequently, the stochastic service network model of passenger flow distribution was established using the Simulink simulation platform. The validity of the model was experimentally verified. This model can simulate different stations by changing the parameters of arrival, service distributions, and service desks without re-modeling, thus making the model universal.