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Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations

机译:北京地铁车站旅客上下车运动的建模与仿真

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摘要

This paper presents a cellular automata-based alighting and boarding micro-simulation model for passengers in Beijing metro stations. According to observations of passenger alighting and boarding behavior and an analysis of field data collected in three metro stations in Beijing, components of alighting and boarding time and the effects of different group sizes on the alighting and boarding performances are studied. Based on this analysis and investigation, items including individual desire, pressure from passengers behind, personal activity and tendencies (dependent on gender, age, etc.) are put forth as important factors that influence passenger behavior in certain external conditions. The transition probability defined by these factors is used to model passenger cooperation and negotiation at a microscopic level, while collective performance is used at the macroscopic level for the model validation. For model verification, simulation experiments that include a wide range of alighting and boarding group sizes and ratios were run. The results show that the behavior that arises from the model captures the fundamental traits of alighting and boarding movement. The model is helpful in the evaluation of functionality of facilities and passenger organizing in metro stations.
机译:本文提出了一种基于元胞自动机的北京地铁乘客上下车微观仿真模型。通过对北京上下三个地铁站的乘客上下车行为的观察和现场数据分析,研究了上下车时间的组成部分以及不同团体人数对上下车性能的影响。在此分析和调查的基础上,提出了包括个人愿望,来自乘客的压力,个人活动和倾向(取决于性别,年龄等)在内的项目,这些因素是在某些外部条件下影响乘客行为的重要因素。由这些因素定义的转移概率用于微观层面上的乘客合作和协商模型,而集体绩效则用于宏观层面上的模型验证。为了进行模型验证,运行了包括各种各样的下车和登机组规模和比率的模拟实验。结果表明,该模型产生的行为反映了上下车运动的基本特征。该模型有助于评估地铁站的设施功能和乘客组织。

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