A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common

doi:10.1111/cgf.14630

	A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common
	Mao, Tianlu 1; Wang, Ji 1; Meng, Ruoyu 2; Yan, Qinyuan 1; Liu, Shaohua 2; Wang, Zhaoqi 1
	2022-12-01
发表期刊	COMPUTER GRAPHICS FORUM
ISSN	0167-7055
卷号	41 期号:8 页码:131-142
摘要	This paper proposes a novel crowd simulation method which integrates not only modelling ideas but also advantages from both data-driven methods and crowd dynamics methods. To seamlessly integrate these two different modelling ideas, first, a fusion crowd motion model is developed. In this model the motion of crowd are driven dynamically by different forces. Part of the forces are modeled under a universal interaction mechanism, which describe the common parts of crowd dynamics. Others are modeled by examples from real data, which describe the personality parts of the agent motion. Second, a construction method for example dataset is proposed to support the fusion model. In the dataset, crowd trajectories captured in the real world are decomposed and re-described under the structure of the fusion model. Thus, personality parts hidden in the real data could be locked and extracted, making the data understandable and migratable for our fusion model. A comprehensive crowd motion generation workflow using the fusion model and example dataset is also proposed. Quantitative and qualitative experiments and user studies are conducted. Results show that the proposed fusion crowd simulation method can generate crowd motion with the great motion fidelity, which not only match the macro characteristics of real data, but also has lots of micro personality showing the diversity of crowd motion.
DOI	10.1111/cgf.14630
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2020YFB1710400] ; Major Program of National Natural Science Foundation of China[91938301] ; Youth Program of National Natural Science Foundation of China[62002345] ; Innovation Program of Institute of Computing Technology Chinese Academy of Sciences[E261070]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:001047605100014
出版者	WILEY
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21176
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Mao, Tianlu
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Beijing Univ Posts & Telecommun, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Mao, Tianlu,Wang, Ji,Meng, Ruoyu,et al. A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common[J]. COMPUTER GRAPHICS FORUM,2022,41(8):131-142.
APA	Mao, Tianlu,Wang, Ji,Meng, Ruoyu,Yan, Qinyuan,Liu, Shaohua,&Wang, Zhaoqi.(2022).A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common.COMPUTER GRAPHICS FORUM,41(8),131-142.
MLA	Mao, Tianlu,et al."A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common".COMPUTER GRAPHICS FORUM 41.8(2022):131-142.