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Simulation-based particle swarm optimization technique for the breadth design of stairs and passageway network at interchange stations

机译:基于仿真的粒子群优化技术在换乘站楼梯及通道网络宽度设计中的应用

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This study reports a novel hybrid simulation based Particle Swarm Optimization (PSO) technique using PH-Distribution for the design of facilities at transit stations. First, a Discrete-Event Simulation (DES) model for the network of stairs and passageway is developed that incorporates all influential factors that were ignored by the existing design codes (TCRP Report-165). The DES model is coupled with the PSO technique to build an automated framework for the area of network of stairs and passageway. The experimental results by hybrid simulationoptimization reveal that: (1) increase in randomness (SCV) of passengers’ arrival causes increase in the breadth of both passageways and stairs; 2) For the same arrival rate and SCV, the stairs breadths are more than passageway breadths; 3) The breadth decreases from Level of Service (LOS) B towards D.
机译:这项研究报告了一种新颖的基于PH分布的混合仿真,基于粒子群优化(PSO)技术的公交车站设施设计。首先,开发了用于楼梯和通道网络的离散事件模拟(DES)模型,其中包含了现有设计规范所忽略的所有影响因素(TCRP报告165)。 DES模型与PSO技术相结合,为楼梯和通道网络区域构建了自动化框架。混合仿真优化的实验结果表明:(1)乘客到达随机性(SCV)的增加导致通道和楼梯宽度的增加; 2)对于相同的到达率和SCV,楼梯宽度大于通道宽度; 3)广度从服务水平B降低到D。

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