一种基于多出口环境的人群疏散改进模型

doi:10.16265/j.cnki.issn1003-3033.2020.07.021

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (7): 139-145.doi: 10.16265/j.cnki.issn1003-3033.2020.07.021

一种基于多出口环境的人群疏散改进模型

魏娟^1,2 副研究员, 郭阳勇^1,2 副教授, 游磊³ 副教授, 李忠玉^1,2 讲师, 唐志海², 胡周义²

1 成都师范学院室内空间布局优化与安全保障四川省高校重点实验室,四川成都 611130;
2 成都师范学院计算机科学学院,四川成都 611130;
3 成都大学计算机学院,四川成都 610106

收稿日期:2020-04-25 修回日期:2020-06-15 出版日期:2020-07-28 发布日期:2021-07-15
作者简介:魏娟 (1983—),女,四川达州人,硕士,副研究员,主要从事智能交通等方面的研究。E-mail: weijuan0905@126.com。
基金资助:
国家自然科学基金资助(51978089);四川省科技厅应用基础重点项目(2018JY0129);四川省教育厅创新团队项目(N15TD0038);浙江大学CAD&CG国家重点实验室开放课题(A1922)。

An improved crowd evacuation model for a multi-exit environment

WEI Juan^1,2, GUO Yangyong^1,2, YOU Lei³, LI Zhongyu^1,2, TANG Zhihai², HU Zhouyi²

1 Key Laboratory of Interior Layout Optimization and Security, Institutions of Higher Education of Sichuan Province, Chengdu Normal University, Chengdu Sichuan 611130, China;
2 College of Computer Science, Chengdu Normal University, Chengdu Sichuan 611130, China;
3 School of Computer Science, Chengdu University, Chengdu Sichuan 610106, China

Received:2020-04-25 Revised:2020-06-15 Online:2020-07-28 Published:2021-07-15

摘要/Abstract

摘要： 为有效提高多出口环境下人群疏散的模拟精度,基于社会力模型和粒子鸽群算法,建立一种新的人群疏散模型;该模型改进传统社会力模型中影响行人运动的自驱力方向,利用场域模型来获得行人的运动方向,同时将此方向作为社会力模型中自驱力方向;结合场域值、平均速度和拥挤度提出多出口环境下的疏散优化模型,并通过粒子鸽群算法对上述优化模型实现快速求解。结果表明:随着人群密度的增加,平均疏散速度呈现出先降低后缓慢增加的趋势;在人群密度较小时,场域权重值越大对应的疏散时间越小。

关键词: 多出口环境, 人群疏散, 社会力模型, 场域模型, 粒子鸽群算法

Abstract: In order to effectively improve simulation accuracy of crowd evacuation in a multi-exit environment, a novel crowd evacuation model was established based on social force model and particle pigeons algorithm. Self-driving direction that affected pedestrian movement in traditional social force model was improved by obtaining moving direction of pedestrian through field model. Then, an evacuation optimization model for a multi-exit environment was established with consideration to field values, average velocity and congestion degree, and it was solved quickly by employing particle pigeons algorithm. The results show that as crowd density increases, average evacuation velocity decreases first and then increases slowly. When density is small, the larger field weight value is, the less time evacuation takes.

Key words: multi-exit environment, crowd evacuation, social force model, field model, particle pigeons algorithm

中图分类号:

X956

魏娟, 郭阳勇, 游磊, 李忠玉, 唐志海, 胡周义. 一种基于多出口环境的人群疏散改进模型[J]. 中国安全科学学报, 2020, 30(7): 139-145.

WEI Juan, GUO Yangyong, YOU Lei, LI Zhongyu, TANG Zhihai, HU Zhouyi. An improved crowd evacuation model for a multi-exit environment[J]. China Safety Science Journal, 2020, 30(7): 139-145.

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一种基于多出口环境的人群疏散改进模型

An improved crowd evacuation model for a multi-exit environment

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