A review of cellular automata models for crowd evacuation

人群 细胞自动机 可扩展性 计算机科学 领域(数学) 简单(哲学) 数据科学 风险分析(工程) 运筹学 人工智能 计算机安全 工程类 认识论 纯数学 哲学 数据库 医学 数学
作者
Yang Li,Maoyin Chen,Zhan Dou,Xiaoping Zheng,Yuan Cheng,Ahmed Mébarki
出处
期刊:Physica D: Nonlinear Phenomena [Elsevier]
卷期号:526: 120752-120752 被引量:130
标识
DOI:10.1016/j.physa.2019.03.117
摘要

With the increasing of risk potential in crowded places, evacuation management becomes practically important to ensure the safety of crowds. The studies of crowd evacuation in normal or emergency situations have become a hot topic. Due to the distinct advantages of high efficiency, strong scalability and simple implementation, cellular automata models (CA) have become one of the most widely-used models for evacuation. However, the practical requirements of evacuation propose some important challenges for CA models, for example, to accurately characterize both position and velocity of individuals, to depict environments and accidents, and to describe human behaviors. In the last 20 years, there are many studies aiming at resolving the above challenges. Starting from the challenges mentioned above, this paper tries to give a review of CA models, specially used for crowd evacuation. Firstly, we give an overview of CA models for evacuation, and put forward research paradigm, modeling framework and classification of CA models. The models used for evacuation are classified into three kinds of categories, i.e. lattice gas model, floor field model, and other field-based models. The last category includes potential field model, electrostatic-induced potential field model, cost potential field model, etc. Then, three main challenges of CA models for evacuation are presented, and the improvements for each type of challenge are summarized. Typical simulation scenarios and research issues are further proposed. Finally, the advantages and disadvantages of CA models are illustrated from the aspects of implementation, performance, scalability, accuracy and applicability.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
星辰大海应助阿依咕噜采纳,获得10
1秒前
香蕉觅云应助DG采纳,获得10
1秒前
睡觉了完成签到,获得积分10
1秒前
量子星尘发布了新的文献求助10
2秒前
Y_Y完成签到,获得积分10
2秒前
zorro3574发布了新的文献求助10
2秒前
2秒前
2秒前
嘿嘿完成签到,获得积分10
3秒前
renxin发布了新的文献求助10
3秒前
4秒前
5秒前
内向孤菱发布了新的文献求助30
5秒前
5秒前
可可布朗尼完成签到,获得积分10
6秒前
思源应助自信笑槐采纳,获得10
7秒前
8秒前
斑比发布了新的文献求助10
9秒前
JUN发布了新的文献求助10
9秒前
10秒前
bkagyin应助澄桦采纳,获得10
10秒前
天真似狮发布了新的文献求助10
12秒前
13秒前
14秒前
科研通AI6应助厚朴采纳,获得10
14秒前
lzp完成签到 ,获得积分10
15秒前
15秒前
已知中的未知完成签到 ,获得积分10
15秒前
15秒前
chenbin1105完成签到,获得积分10
16秒前
量子星尘发布了新的文献求助10
16秒前
CipherSage应助大胆的魔镜采纳,获得10
16秒前
17秒前
CipherSage应助sxh采纳,获得10
17秒前
完美世界应助明芬采纳,获得10
17秒前
renxin完成签到,获得积分10
17秒前
18秒前
18秒前
18秒前
万能图书馆应助fjnm采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 6000
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
Handbook of Migration, International Relations and Security in Asia 555
Between high and low : a chronology of the early Hellenistic period 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5675369
求助须知:如何正确求助?哪些是违规求助? 4945575
关于积分的说明 15152710
捐赠科研通 4834585
什么是DOI,文献DOI怎么找? 2589541
邀请新用户注册赠送积分活动 1543247
关于科研通互助平台的介绍 1501131