系统仿真学报 ›› 2019, Vol. 31 ›› Issue (11): 2477-2484.doi: 10.16182/j.issn1004731x.joss.19-FZ0284

• 仿真应用工程 • 上一篇    下一篇

基于同伴群行人仿真的通道设置研究

许伊婷1,2*, 张蕊1,3   

  1. 1. 北京建筑大学 土木与交通工程学院,北京 100044;
    2. 北京建筑大学 北京市城市交通基础设施建设工程技术研究中心,北京 100044;
    3. 北京建筑大学 首都世界城市顺畅交通协同创新中心,北京 100044
  • 收稿日期:2019-05-30 修回日期:2019-07-05 出版日期:2019-11-10 发布日期:2019-12-13
  • 作者简介:许伊婷(1995-),女,江苏苏州,硕士生,研究方向为交通规划理论与应用;张蕊(1971-),女,黑龙江宁安,博士,教授,研究方向为交通规划、行人交通。
  • 基金资助:
    住房和城乡建设部科学技术计划项目(K22016014)

Research on Corridor Setting Based on Pedestrian Simulation of Social Groups

Xu Yiting1,2*, Zhang Rui1,3   

  1. 1. Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
    2. Beijing Urban Transportation Infrastructure Engineering and Architecture, Beijing 100044, China;
    3. Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing 100044, China
  • Received:2019-05-30 Revised:2019-07-05 Online:2019-11-10 Published:2019-12-13

摘要: 轨道交通枢纽通道作为枢纽内各空间的连接器,承担着过渡以及缓冲作用。同伴群行人的存在,对行人流交通及其仿真产生了重要影响。补充行人交通相关研究对同伴群体行人交通出行影响的考虑,分析轨道交通枢纽通道内同伴行人特性,改进Moussaïd同伴社会力模型,建立微观仿真模型,通过Python语言对AnyLogic仿真平台二次开发。以北京某地铁站为例,充分考虑同伴群行人的影响,得到一定流量与同伴比例下最优的通道宽度范围为3.5 ~ 4 m,为合理规划及设施设置提供了理论支持。

关键词: 轨道交通枢纽, 通道, 行人微观仿真, 同伴群行人, Moussaïd同伴社会力模型

Abstract: As the connector of each space in the hub, the rail transit hub corridor plays the role of transition and buffer. The existence of social groups makes an important impact on pedestrian traffic and its simulation. The paper supplements the consideration of pedestrian traffic related studies on social groups travel, analyses the characteristics of social groups in rail transit hub corridor, improves Moussaïd social group force model, and redevelops AnyLogic micro-simulation platform based on Python language. Taking a subway station in Beijing as an example, fully considering the influence of social groups, it is obtained that the optimal channel width under a certain flow rate and social group ratio is 3.5 ~ 4 m, which provides theoretical support for rational planning and facilities setting.

Key words: subway track hub, corridor, pedestrian microscopic simulation, social groups, Moussaïd social group force model

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