中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (7): 151-157.doi: 10.16265/j.cnki.issn1003-3033.2022.07.1498

• 公共安全 • 上一篇    下一篇

考虑个体间信息传递的人员疏散模型

霍非舟1,2(), 李超1,2, 李宇飞1,2, 吕伟1,2,**(), 涂文豪1,2   

  1. 1 武汉理工大学 中国应急管理研究中心,湖北 武汉 430070
    2 武汉理工大学 安全科学与应急管理学院,湖北 武汉 430070
  • 收稿日期:2022-01-13 修回日期:2022-05-11 出版日期:2022-08-12 发布日期:2023-01-28
  • 通讯作者: 吕伟
  • 作者简介:

    作者简介:霍非舟 (1987—),男,河南周口人,博士,副教授,主要从事人员疏散、风险评估等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(51808422); 国家自然科学基金资助(52072286); 中央高校基本科研业务费专项资金资助(2021Ⅲ052JC)

Pedestrian evacuation model considering information transfer among individuals

HUO Feizhou1,2(), LI Chao1,2, LI Yufei1,2, LYU Wei1,2,**(), TU Wenhao1,2   

  1. 1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
    2 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
  • Received:2022-01-13 Revised:2022-05-11 Online:2022-08-12 Published:2023-01-28
  • Contact: LYU Wei

摘要:

为研究视野受限条件下行人间信息传递对疏散时间的影响,采用Dijkstra算法改进熟悉环境者的静态场,采用划分区域以及引入随机场和引导场的方法,规定不熟悉环境者的运动方式,并定义信息传递规则,研究行人密度、熟悉环境者比例、信息传递概率、信息传递范围和行人初始位置分布对人员疏散进程的影响机制,建立考虑信息传递的人员疏散元胞自动机模型。研究表明:行人间的信息传递对疏散起明显促进作用,增大信息传递概率和扩大信息传播范围都能有效减少疏散时间;信息传递概率、信息传递范围、行人密度和熟悉环境者的空间分布共同影响了总体的疏散时间。

关键词: 人员疏散, 元胞自动机, 信息传递, 视野受限, 熟悉环境者

Abstract:

In order to study impacts of information transmission between pedestrians on their evacuation time within limited visual field, Dijkstra algorithm was used to improve static field of individuals familiar with environment, while the methods of dividing areas and introducing random field and guiding field were adopted to specify movement mode of those not familiar with environment, and information transmission rules were defined. Then, influencing mechanism of factors like pedestrian density, proportion of people familiar with environment, information transmission probability, information transmission range and pedestrian initial position distribution on evacuation process was discussed, and a model of human evacuation cellular automata considering information transmission was established. The results show that the information transmission between pedestrians can significantly promote evacuation, and increasing transmission probability and expanding transmission range can effectively reduce evacuation time. The probability, range, pedestrian density and spatial distribution of people familiar with environment jointly affect the overall evacuation time.

Key words: pedestrian evacuation, cellular automata, information transmission, limited vision, pedestrians familiar with environment