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 医学 哲学 数学 认识论 数据库 纯数学
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
yuyuyu发布了新的文献求助10
刚刚
上官若男应助傲娇的云朵采纳,获得10
2秒前
nmeiko发布了新的文献求助10
6秒前
单薄的寻桃给单薄的寻桃的求助进行了留言
9秒前
11秒前
内向汽车完成签到,获得积分10
14秒前
可爱的函函应助文静人达采纳,获得10
23秒前
哭泣青烟完成签到 ,获得积分10
25秒前
明理如凡完成签到,获得积分20
25秒前
诚心八宝粥完成签到,获得积分10
27秒前
29秒前
32秒前
酷波er应助耍酷皮皮虾采纳,获得10
33秒前
英吉利25发布了新的文献求助10
34秒前
LDoll发布了新的文献求助10
39秒前
du完成签到 ,获得积分10
39秒前
40秒前
45秒前
Orange应助xuan采纳,获得10
46秒前
nmeiko完成签到,获得积分20
49秒前
xzgwbh完成签到,获得积分10
49秒前
科目三应助LDoll采纳,获得10
49秒前
51秒前
51秒前
浮游应助yiqi采纳,获得10
51秒前
wubinbin完成签到 ,获得积分10
51秒前
hjjjxxxx发布了新的文献求助30
54秒前
55秒前
不能吃了发布了新的文献求助10
55秒前
xuan发布了新的文献求助10
58秒前
hjjjxxxx完成签到,获得积分10
1分钟前
nmeiko发布了新的文献求助10
1分钟前
1分钟前
山屿发布了新的文献求助30
1分钟前
科研顺发布了新的文献求助10
1分钟前
AIDIN完成签到 ,获得积分10
1分钟前
1分钟前
ding应助Bismarck采纳,获得10
1分钟前
1分钟前
1分钟前
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
List of 1,091 Public Pension Profiles by Region 1601
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 620
A Guide to Genetic Counseling, 3rd Edition 500
Laryngeal Mask Anesthesia: Principles and Practice. 2nd ed 500
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 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 5557689
求助须知:如何正确求助?哪些是违规求助? 4642768
关于积分的说明 14669036
捐赠科研通 4584191
什么是DOI,文献DOI怎么找? 2514668
邀请新用户注册赠送积分活动 1488870
关于科研通互助平台的介绍 1459538