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首页> 外文期刊>Arabian Journal for Science and Engineering >Optimal Configuration of the Metro Rail Transit Station Service Facilities by Integrated Simulation-Optimization Method Using Passengers’ Flow Fluctuation
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Optimal Configuration of the Metro Rail Transit Station Service Facilities by Integrated Simulation-Optimization Method Using Passengers’ Flow Fluctuation

机译：综合利用乘客流量波动的模拟优化方法优化地铁站服务设施

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摘要

This paper proposes an integrated discrete-event simulation (DES) using phase-type (PH) distribution and optimization method for the performance assessment, as well as optimal configuration of metro rail transit (MRT) station service facilities. The MRT facilities (including ticket facilities and elevator) are represented as a queuing network system with the passengers' arrival flow and the service time based on the PH distribution, which considers the flow and service time fluctuation. The necessary performance measures include facility utilization, mean number of passengers and waiting time of passengers in the facilities are obtained by PH-based DES model of service facilities. The model is then coupled with a genetic algorithm that works simultaneously to give the optimal configuration of service facilities. The results of PH-based DES model are first verified by existing PH-based analytical models and then compared with other existing exponential-based and deterministic-based queuing models. The results reveal that increase in squared coefficient of variation of arrival interval causes an increase in the performance measure values and high number of ticket facilities compared to existing models. The existing models therefore underestimate the results. The squared coefficient of variation is an important parameter and cannot be ignored in analysis and design of service facilities. This research provides a more realistic and novel PH-based DES, as well as PH-based simulation-optimization method that will assist the planners and designers of MRT stations to make intelligent decisions regarding analysis and design.
机译：本文提出了一种使用相类型（PH）分布和优化方法的综合离散事件模拟（DES）进行性能评估，以及地铁（MRT）站服务设施的最佳配置。捷运设施（包括售票设施和电梯）被表示为一个排队网络系统，其中乘客的到达流量和服务时间基于PH的分布，并考虑流量和服务时间的波动。必要的性能指标包括设施利用率，平均乘客数和设施中乘客的等待时间是通过基于PH的服务设施的DES模型获得的。然后，将模型与遗传算法耦合，该遗传算法可同时工作以提供服务设施的最佳配置。首先，通过现有的基于PH的分析模型验证基于PH的DES模型的结果，然后将其与其他现有的基于指数和基于确定性的排队模型进行比较。结果表明，与现有模型相比，到达间隔变化的平方系数的增加导致性能度量值的增加和售票设施的数量增加。因此，现有模型低估了结果。变异系数的平方是一个重要参数，在服务设施的分析和设计中不可忽视。这项研究提供了一种更为现实和新颖的基于PH的DES，以及基于PH的仿真优化方法，该方法将帮助地铁站的规划人员和设计人员做出有关分析和设计的明智决策。

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