10.ki.1671-7988.2020.09.053
李建华,房萍萍
(西安科技大学机械工程学院,陕西西安710054)
摘要:站厅层是地铁站内人流最密集、流向最复杂的区域,站厅层的集散能力很容易影响车站内的人流拥挤程度。文章利用Anylogic仿真软件对大雁塔地铁站站厅层进行仿真,建立了站厅层行人设施仿真模型。仿真实验后得出了设施排队长度图和人流密度图,以设施排队长度和人流密度为评价指标,优化行人进出站路径和设施布局后再次仿真,设施排队长度和人流密度均有一定比例的下降。仿真研究提高了设施服务水平和地铁站的集散能力。 关键词:地铁车站;集散能力;Anylogic;仿真分析
中图分类号:U491.1 文献标识码:A 文章编号:1671-7988(2020)09-176-04
Analysis on the Distribution Capacity of the Hall Floor of DaYanTa Subway Station
in Xi'an Based on Anylogic
Li Jianhua, Fang Pingping
(School of Mechanical Engineering, Xi'an University of science and technology, Shaanxi Xi’an 710054)
Abstract: The station hall floor is the area with the most dense and complex flow of people in the subway station. The distribution capacity of the station hall layer is easy to affect the crowded degree of people in the station. In this paper, the simulation study of the hall layer of DaYanTa subway station is carried out by using the software of anylogic. Taking the average queuing length of facilities and the density of people flow as the evaluation index, the simulation model of the hall floor is established according to the problems of passenger flow streamline and facilities layout. The simulation results show that the length of the facility queue and the density of the people flow diagram. After the improvement, the simulation results show that the length of the facility queue and the density of the people flow decrease in a certain proportion. The simulation study improves the service level and distribution ability of subway station facilities.
Keywords: Subway station; Assemble capacity; Anylogic; Simulation analysis
CLC NO.: U491.1 Document Code: A Article ID: 1671-7988(2020)09-176-04
前言
轨道交通发展迅速,地铁以其快速、准时、大运量的特点成为城市交通的主干。因此,防止客流拥堵提高地铁站的集散能力是重点研究内容。本文拟在通过仿真研究,模拟地铁站的现实情况,出关键问题,进而提出优化方案,提升地铁站的的集散能力。曹莹指出城市轨道交通车站集散能力瓶颈就是产生拥堵现象的区域或者设施。地铁车站的拥堵强度就是瓶颈区域的客流量的拥挤程度[1]。所以,对拥堵强度进行辨别就能够对城市轨道交通车站集散能力瓶颈进行识别。陈立扬等人以乘客空间站用量与设施平均排队长度做为车站集散能力的评价指标,并用Anylogic软件对北京宣武门
作者简介:李建华(1962-),女,四川南充人,博士,教授,主要研究方向为机械工程、工业工程,仿真。房萍萍(1993-),女,山东淄博人,西安科技大学机械工程学院硕士研究生在读,主要研究方向为仿真、车站仿真、行人仿真。
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