交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 60-66.

• 智能交通系统与信息技术 • 上一篇    下一篇

一种考虑引导作用的行人疏散元胞自动机模型

高凤强,颜逾越,许策,林丽霞,任欢*,裴俊智   

  1. 厦门大学嘉庚学院信息科学与技术学院,福建漳州363105
  • 收稿日期:2016-05-24 修回日期:2016-08-21 出版日期:2016-12-25 发布日期:2016-12-26
  • 作者简介:高凤强(1984-),男,福建漳州人,讲师.
  • 基金资助:

    国家自然科学基金青年基金项目/ National Natural Science Foundation of China (61403318);福建省2015年中青年 教师教育科研项目/Education and Scientific Foundation of Young and Middle-aged Teachers in Fujian Province (JA15615).

A New Cellular Automata Model for Pedestrian Evacuation Considering Guiding Effects

GAO Feng-qiang, YAN Yu-yue, XU Ce, LIN Li-xia, REN Huan, PEI Jun-zhi   

  1. Information Science Technology College, Tan Kah Kee College, Xiamen University, Zhangzhou 363105, Fujian, China
  • Received:2016-05-24 Revised:2016-08-21 Online:2016-12-25 Published:2016-12-26

摘要:

鉴于目前行人元胞自动机仿真研究中对多出口疏散引导情况下模型的缺失, 提出了一种考虑引导作用的行人疏散元胞自动机模型.该模型引入无线通信理论,通过计 算引导受信度,量化引导作用力,结合可见出口吸引力、行人排斥力、行人吸引力和障碍 物排斥力,来反映行人流的微观特征.通过计算机仿真实验,模拟多出口疏散过程,得出行 人疏散消耗时间与期望疏散速度、初始人员密度的关系数据,并研究了引导作用力系数 对不同初始人员密度下行人流内部冲突效应的缓解作用.仿真结果表明,该模型能模拟多 出口行人流疏散的基本现象,有效反映行人流在多出口疏散引导情况下的微观特征.该研 究有助于相关多出口行人流疏散引导策略的评估与优化.

关键词: 系统工程, 行人流, 疏散模型, 元胞自动机, 计算机仿真

Abstract:

Due to the lack of modeling pedestrian behaviors under multi- exit evacuation guidance, this paper proposes a new cellular automaton model aiming to reproduce the behaviors impacted by such guiding effects. The proposed model introduces the wireless communication theory and calculates the reliability of guidance signal to quantify the guiding force. To reflect the micro characteristics of pedestrians, the visible exit- attraction, obstacles repulsion, pedestrian attraction and repulsion are also considered in the model. Then, the evacuation procedures are simulated to obtain the relation between evacuation time and initial pedestrian density, expected speed respectively. In addition, effects of guide coefficient on internal conflict in pedestrians with differently initial pedestrian density are discussed in this paper. The simulation results demonstrate that the proposed model can reflect the micro characteristic and basic phenomenon of pedestrian behaviors under multi-exit evacuation guidance. The present study is helpful for evaluating and optimizing evacuation guiding strategies in multi-exit pedestrian flow evacuation.

Key words: systems engineering, pedestrian flow, evacuation model, cellular automata, computer simulation

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