摘要
【目的】为提高地铁站厅客流组织效率,以西安地铁小寨站为典型案例,运用仿真方法,旨在改善高峰时段的客流拥堵状况,为地铁站的设计与运营提供实践指导和理论支持。【方法】采用Anylogic仿真软件,构建精准的小寨站客流动态模型,详细模拟高峰时段内的客流分布及流动模式。通过精细化调整客流引导设施布局,深入分析并比较不同优化方案对客流疏导效果的影响。【结果】基于仿真试验数据,系统性地评估了各优化方案下的客流分布特征及拥堵状况改善程度。通过定量分析,提出了一系列行之有效的优化措施,核心在于灵活调整闸机数量以适应不同时段的客流需求,并优化出入口设置以促进客流的有序流动。【结论】研究表明,科学合理的地铁站厅客流组织优化能够显著降低拥堵程度,有效提升乘客通行效率与整体运营水平。所得结论及优化策略对同类型地铁车站的设计规划与运营管理具有重要的借鉴意义和推广价值。
[Purposes]In order to optimize the efficiency of passenger flow organization in the subway station hall,this article takes Xi'an Metro Xiaozhai Station as a typical case and uses simulation methods to improve passenger flow congestion during peak hours and provide practical guidance and theory for the design and operation strategies of subway stations support.[Methods]The research uses Anylogic simulation software to construct an accurate passenger flow dynamic model of Xiaozhai Station and simulate the passenger flow distribution and flow pattern in peak hours in detail.By finely adjusting the layout of passenger flow guidance facilities,an in-depth analysis and comparison of the impact of different optimization plans on the passenger flow guidance effect was conducted.[Findings]Based on the simulation experiment data,this study systematically evaluated the passenger flow distribution characteristics and con⁃gestion improvement degree under each optimization scheme.Through quantitative analysis,a series of effective optimization measures are proposed.The core is to flexibly adjust the number of gates to adapt to passenger flow needs at different times,and optimize the entrance and exit settings to promote the orderly flow of passenger flow.[Conclusions]This study empirically shows that scientific and reasonable optimization of passenger flow organization in subway station halls can significantly reduce congestion and effectively improve passenger traffic efficiency and overall operational levels.The conclusions and optimization strategies obtained have important reference significance and promotion value for the design planning and operation management of similar types of subway stations.
作者
张思瑶
杜晨阳
薛智蒙
黄沙沙
王兴仁
ZHANG Siyao;DU Chenyang;XUE Zhimeng;HUANG Shasha;WANG Xingren(School of Traffic and Transportation,Xi'an Traffic Engineering Institute,Xi'an 710300,China;Shaanxi University Innovation Research Institute of the Future Industry in Rail Transit,Xi'an 710300,China)
出处
《河南科技》
2025年第2期62-67,共6页
Henan Science and Technology
基金
西安交通工程学院大学生创新创业训练计划项目“显而易见——基于人工智能的城市轨道交通可视化候车系统”(2023DC08)
陕西省教育厅科学研究计划项目(22JC048)
西安市科技计划项目(23GXFW0046)。
关键词
ANYLOGIC
客流组织
方案对比
仿真优化
Anylogic
passenger flow organization
scheme comparison
simulation and optimization
