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Level of Service Analysis Based on Maximum Number of Passengers in Waiting Room of Railway Passenger Station Using Arena Simulation

机译:使用竞技场模拟的铁路客运站等候室的最大乘客的服务水平

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摘要

The level of service is an important aspect of the operation and management at a railway passenger station. Particularly, the level of service in waiting room (LOSWR) is one of the most important influential factors in deciding passengers’ satisfaction. This paper proposes a model for finding the LOSWR based on the maximum number of passengers, and an Arena simulation model that simulates passengers’ aggregation behaviors in the waiting room is presented for analyzing the LOSWR. Through the simulation, we demonstrate how the passenger advanced arrival time and the accompany rate influence the maximum number of passengers and the LOSWR. In addition, the simulation also illustrates the effect utilities and the priority of different measures that can be used to improve the LOSWR. In detail, the simulation results demonstrate that the passenger advanced arrival time and advanced check-out time have much stronger effect utilities on the maximum number of passengers and the LOSWR than other discussed factors. The simulation suggests that the Arena is an effective simulation platform for analyzing complex passengers-related behaviors at railway passenger station.
机译:服务水平是铁路客运站运营和管理的一个重要方面。特别是,候诊室(LOSWR)的服务水平是决定乘客满意度最重要的影响因素之一。本文提出了一种基于乘客的最大数量寻找LOSWR的模型,并提出了一种模拟候诊室中乘客聚集行为的舞台仿真模型,以分析LOSWR。通过模拟,我们展示了乘客高级到达时间和伴随的速率如何影响最大乘客和洛杉矶的人。此外,模拟还说明了效果公用事业和可用于改善LOSWR的不同措施的优先级。详细说明,仿真结果表明,乘客高级抵达时间和高级退房时间在最大乘客和LOSWR的最大数量上具有更强的效果公用事业,而不是其他讨论的因素。仿真表明,竞技场是一种有效的仿真平台,用于分析铁路客运站的复杂乘客相关行为。

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