交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (5): 163-168.

• 系统工程理论与方法 • 上一篇    下一篇

考虑结伴行为的地铁通道行人仿真建模研究

张蕊1,杨静*1,杨晨威2,代盛旭1   

  1. 1. 北京建筑大学土木与交通工程学院,北京 100044;2. 深圳市城市交通规划设计研究中心,广东深圳 518021
  • 收稿日期:2018-10-23 修回日期:2019-05-24 出版日期:2019-10-25 发布日期:2019-10-25
  • 作者简介:张蕊(1971-),女,黑龙江宁安人,教授.
  • 基金资助:

    北京市教育委员会科技计划一般项目/Beijing Municipal Education Commission Science and Technology General (SQKM201810016006);北京建筑大学市属高校基本科研业务费专项资金/ The Fundamental Research Funds for Beijing Universities (X18264, X18100).

Pedestrian Simulation Modeling of Subway Corridor Considering Group Behavior

ZHANG Rui1, YANG Jing1, YANG Chen-wei2, DAI Sheng-xu1   

  1. 1. School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 2. Shenzhen Urban Transport Planning Center, Shenzhen 518021, China
  • Received:2018-10-23 Revised:2019-05-24 Online:2019-10-25 Published:2019-10-25

摘要:

结伴是行人运动中的普遍行为,且对行人的整体运动具有显著影响,因此仿真行人运动时,有必要考虑结伴行为. 本文以地铁内一般通道为空间背景,首先利用视频观测数据,深入分析了通道内的结伴行为特征. 然后,区分普通个体行人、结伴行人及结伴群体中的不同角色(领导者、跟随者),基于社会力模型原理,结合颗粒流理论,建立了包含驱动力、接触力、排斥力3 个子模型的行人运动模型,并构建了考虑结伴行为的行人仿真平台. 最后,以某一地铁通道作为实例,通过观测数据及对结伴行为的刻画验证了该仿真模型的真实性及有效性,并分析了不同结伴比例对行人流平均速度的影响,得出行人速度随着结伴比例增大而减小的结论. 该模型可为进一步完善地铁枢纽的行人运动仿真模型提供理论支持,为通道内行人组织提供帮助.

关键词: 城市交通, 结伴行为, 行人仿真, 颗粒流理论, 社会力模型

Abstract:

Group behavior is a common phenomenon in pedestrian movement, and has a significant impact on the overall movement of pedestrians, so it is necessary to consider the companion behavior when simulating pedestrians’movement. Taking the subway common corridor as a spatial background, with the video observation data, this paper analyses the characteristics of the group. Then, based on the social force model and particle discrete element theory, individual pedestrians, group pedestrians, and different roles in a group (leader or follower) are distinguished. At the same time, a pedestrian movement model including driving force, contact force and repulsive force is established, and a pedestrian simulation platform considering pedestrian behavior based on Agent framework is constructed. Finally, taking a subway passage as an example, the authenticity and validity of the simulation model are verified by the observation data and the description of the group behavior, and the influence of different group proportions on the average flow speed of pedestrian is analyzed. Conclusion that the pedestrian speed decreases with the increase of the group proportions is drawn. The new model can provide theoretical support for further improving of pedestrian motion simulation model in subway and help pedestrian organizations in the corridor.

Key words: urban traffic, group behavior, pedestrian simulation, particle discrete element theory, social force model

中图分类号: