交通运输系统工程与信息 ›› 2009, Vol. 9 ›› Issue (5): 117-123 .

• 系统工程理论与方法 • 上一篇    下一篇

综合交通枢纽内部行人流特性分析及仿真模型参数标定

贾洪飞*;杨丽丽;唐明   

  1. 吉林大学 交通学院,长春 130025
  • 收稿日期:2009-04-07 修回日期:2009-06-09 出版日期:2009-10-25 发布日期:2009-10-25
  • 通讯作者: 贾洪飞
  • 作者简介:贾洪飞(1969-),男,山东即墨人,教授,博士生导师.
  • 基金资助:

    国家高技术研究发展计划(863计划)项目(2007AA11Z124)

Pedestrian Flow Characteristics Analysis and Model Parameter Calibration in Comprehensive Transport Terminal

JIA Hong-fei;YANG Li-li;TANG Ming   

  1. College of Traffic, Jilin University, Changchun 130025, China
  • Received:2009-04-07 Revised:2009-06-09 Online:2009-10-25 Published:2009-10-25
  • Contact: JIA Hong-fei

摘要: 行人流特性分析及仿真模型参数标定目的在于为行人流仿真工作提供理论依据和基础数据。对国内综合交通客运枢纽——北京西直门地铁站行人流数据进行视频采集,采用统计分析软件SPSS对行人流参数数据进行筛选及拟合分析,建立了不同设施的行人流参数关系曲线及函数模型,研究结果表明,水平通道处行人流量与密度呈二次函数关系、流量与空间在某一临界点两侧分别呈二次函数及对数函数关系、速度与密度呈线性关系,楼梯处与之相似但特征点数值存在差异。在此基础上对社会力模型参数进行标定,给出了行人椭圆的长半轴的范围,并引入时间紧迫程度这一影响因子,确定期望速度为速度—密度函数与该影响因子的乘积。

关键词: 交通仿真, 综合交通枢纽, 行人流特性, 模型参数标定

Abstract: Pedestrian flow characteristics analysis and model calibration constitute the base and key processes of pedestrian simulation. Field data of pedestrian flow was collected in Chinese comprehensive passenger transport terminal—Xizhimen underground station using video recording, and then selected and analyzed by statistic analysis software SPSS. Parameters relation models for pedestrian flow on different terminal facilities were established based on data statistics. The results show that the pedestrian flow-density relation model is quadratic equation in corridor; the flow-space relation model is quadratic equation when space is below a certain value and is logarithmic equation when space is above the value; the speed-density relation model is linear equation. The models on stairs show the similar characteristics, but the eigenvalue is different. Parameters of social force model were acquired based on these models. Range of semi-major axis of pedestrian ellipse in social force model was ascertained. Considering time pressure as a factor pattern, expect speed in social force model was obtained by multiplying this factor and speed-density function together.

Key words: traffic simulation, comprehensive transport terminal, pedestrian flow characteristic, model parameter calibration

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