Crowd modeling and simulation technologies

Author:

Zhou Suiping1,Chen Dan1,Cai Wentong1,Luo Linbo1,Low Malcolm Yoke Hean1,Tian Feng1,Tay Victor Su-Han2,Ong Darren Wee Sze2,Hamilton Benjamin D.3

Affiliation:

1. Nanyang Technological University

2. Defense Science & Technology Agency, Singapore

3. Technical Support Working Group

Abstract

As a collective and highly dynamic social group, the human crowd is a fascinating phenomenon that has been frequently studied by experts from various areas. Recently, computer-based modeling and simulation technologies have emerged to support investigation of the dynamics of crowds, such as a crowd's behaviors under normal and emergent situations. This article assesses the major existing technologies for crowd modeling and simulation. We first propose a two-dimensional categorization mechanism to classify existing work depending on the size of crowds and the time-scale of the crowd phenomena of interest. Four evaluation criteria have also been introduced to evaluate existing crowd simulation systems from the point of view of both a modeler and an end-user. We have discussed some influential existing work in crowd modeling and simulation regarding their major features, performance as well as the technologies used in this work. We have also discussed some open problems in the area. This article will provide the researchers with useful information and insights on the state of the art of the technologies in crowd modeling and simulation as well as future research directions.

Funder

Defence Science and Technology Agency - Singapore

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Modelling and Simulation

Reference81 articles.

1. AG S. S. 2009. Simwalk transport. White paper. http://www.simwalk.com/simwalk_transport/whitepapers/simwalk_trans_09_e.pdf. AG S. S. 2009. Simwalk transport. White paper. http://www.simwalk.com/simwalk_transport/whitepapers/simwalk_trans_09_e.pdf.

2. Emergency evacuation, panic, and social psychology: Comment on understanding mass panic and other collective responses to threat and disaster;Aguirre B. E.;Psychiatry,2005

3. Discrete choice models of pedestrian walking behavior

4. A need-based model of multi-day, multi-person activity generation

Cited by 114 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ClassEscape: The Conceptual Design of Crowd Modeling in Fire Evacuation Simulation;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20

2. A literature review of dense crowd simulation;Simulation Modelling Practice and Theory;2024-07

3. Agent-based crowd simulation: an in-depth survey of determining factors for heterogeneous behavior;The Visual Computer;2024-06-19

4. MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Crowd evacuation with human-level intelligence via neuro-symbolic approach;Advanced Engineering Informatics;2024-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3