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

机译:基于模拟的粒子群优化技术,用于交流站楼梯和通道网络广度设计

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摘要

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:本研究报告了一种新的混合模拟基于混合仿真的粒子群优化(PSO)技术,其使用PH分布进行运输站的设施设计。首先,开发了用于楼梯和通道网络网络的离散事件模拟(DES)模型,其中包含了现有设计代码(TCRP报告-165)忽略的所有影响因素。 DES模型与PSO技术耦合,以为楼梯和通道网络的网络构建自动框架。混合模拟优化的实验结果表明:(1)乘客到达的随机性(SCV)增加导致两条通道和楼梯的宽度增加; 2)对于同一到达率和SCV,楼梯宽度不仅仅是通道广度; 3)广度从服务水平(LOS)B朝向D.

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    Afaq khattak;

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  • 年度 2019
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  • 原文格式 PDF
  • 正文语种 fra/fre;eng
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