基于RSM的地铁车站集散能力仿真计算  

Calculation of Gathering and Distributing Capacity of subway station by simulation and response surface methodology

作　　者：许心越[1,2] 刘军[2] 李海鹰[1] 蒋熙[1] 

机构地区：[1]北京交通大学轨道交通控制与安全国家重点实验室,北京100044 [2]北京交通大学交通运输学院,北京100044

出　　处：《铁道学报》2013年第1期8-18,共11页Journal of the China Railway Society

基　　金：国家科技支撑计划(2011BAG01B01);轨道交通控制与安全国家重点实验室重点课题(RCS2012ZZ002)

摘　　要：结合地铁车站乘客集散过程的特性,分析车站集散能力及影响因素;以单位时间内车站最大集散乘客数量和最小平均集散时间为目标函数,建立地铁车站集散能力优化模型;针对模型中目标函数难于使用解析方法求解的情况,构建基于排队理论的乘客车站集散过程仿真模型,并在原优化模型基础上提出车站集散能力仿真计算模型;考虑到仿真模型的效率,提出基于响应曲面法(RSM)的车站集散能力求解算法。以北京地铁2号线某站为例开展研究,计算分析不同仿真方案下车站集散能力和平均集散时间,验证模型及算法的有效性与实用性。The gathering and distributing capacity （GDC） of a subway station and its influencing factors were analyzed in combination with the characteristics of the passenger gathering and distributing process. The opti- mized GDC calculation model was developed, whose objective functions were the maximum number of gather- ing and distributing passengers and the shortest average gathering and distributing time within unit intervals. Due to the fact that the model was difficult to be solved with the analytical method, the passenger gathering and distributing process simulation model was established on the basis of the queuing theory and the GDC simu- lation calculation model was constructed on the basis of the simulation data. In consideration of the efficiency of the simulation model, the response surface methodology （RSM） based algorithm was proposed to find the GDC solution. Case study of the Beijing Station of the Beijing Subway Line 2 was implemented to verify the validity and practicability of the proposed model and algorithm through calculating the GDC and the average gathering and distributing time of different simulation schemes.

关 键 词：RSM 地铁 车站 集散能力 仿真 排队理论 

分 类 号：U291.69[交通运输工程—交通运输规划与管理]