Clustering effect analysis to emergency group incident using Agent-based modeling method

Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (24): 21-26.

Previous Articles Next Articles

Clustering effect analysis to emergency group incident using Agent-based modeling method

CHEN Peng1，2, CHEN Jianguo3, YUAN Hongyong3

1.Policing Information Engineering Institute, People’s Public Security University of China, Beijing 102600, China
2.Key Laboratory to the Security Prevention Techniques and Risk Assessment, The Ministry of Public Security，People’s Public Security University of China, Beijing 102600, China
3.Public Safety Institute, Tsinghua University, Beijing 100084, China

Online:2014-12-15 Published:2014-12-12

基于Agent的突发性群体事件人群聚集效应分析

陈鹏1，2，陈建国3，袁宏永3

1.中国人民公安大学警务信息工程学院，北京 102600
2.中国人民公安大学安全防范技术与风险评估公安部重点实验室，北京 102600
3.清华大学公共安全研究院，北京 100084

Abstract

Abstract: Individual’s behaviors in emergency group incident are modeled using Agent method to simulate assembling phenomenon and the influence of crowd’s scale to the incident’s development is analyzed. The constructed Agent model is consisted of three basic functions, namely the production of rage emotion, rumor spreading among the group and confrontation strategies between individuals. The simulation findings indicate that the higher density of group members in scenario and more powerful of the rumor’s spreading, the faster the individual’s transmitted from watchers to mobs, but there is a threshold that the members density has no impact beyond this level. Additionally, putting more cops into the scenario can effectively prevent riot occurring, but the group emotions still deteriorate.

Key words: group incident, clustering effect, Agent, simulation

摘要： 针对突发性群体事件中的大规模人群聚集行为，建立了基于人群中单个个体的Agent行为模型，研究了人群规模对群体行为发展的影响效应。其中构建的Agent行为模型主要模拟了突发性群体事件中个体在人群中的三个典型行为，即非理性情绪的产生、个体之间的谣言传播以及不同类型个体之间的合作与对抗行为。通过仿真分析发现，在一定的环境下如果人群的密度越高、谣言传播的强度越大，则人群从稳定的聚集状态向暴力性骚乱行为转化的过渡过程持续时间就越短，但人群密度增大到一定程度后对群体行为的影响效应将不再显著；此外，增加现场的警力数量能够有效延缓人群的行为向群体骚乱方向转化的速度，但无法阻止群体行为稳定性的恶化。

关键词: 群体事件, 集群效应, Agent, 仿真模拟

CHEN Peng1，2, CHEN Jianguo3, YUAN Hongyong3. Clustering effect analysis to emergency group incident using Agent-based modeling method[J]. Computer Engineering and Applications, 2014, 50(24): 21-26.

陈鹏1，2，陈建国3，袁宏永3. 基于Agent的突发性群体事件人群聚集效应分析[J]. 计算机工程与应用, 2014, 50(24): 21-26.

[1]	HUANG Yilei, XIA Zhijie, WANG Yiming. Research on False Information Dissemination Model of Strong-Ties Social Media [J]. Computer Engineering and Applications, 2021, 57(9): 126-133.
[2]	WU Jinghua, GENG Cuiyang, HAN Jiali. Multi-attribute Decision Model Based on Comprehensive Weight and Perceived Value and Its Application in College Experiment Teaching [J]. Computer Engineering and Applications, 2021, 57(8): 238-243.
[3]	WU Jinghua, WU Xueqiao. Multi-attribute Evaluation Model Based on Improved Closeness of Agent [J]. Computer Engineering and Applications, 2021, 57(5): 65-70.
[4]	CHEN Shiming, LIN Zipeng, GAO Yanli, PEI Huiqin. Heterogeneous Group Consensus Under Adaptive Coupling Weights [J]. Computer Engineering and Applications, 2021, 57(4): 231-235.
[5]	WANG Jun, CAO Lei, CHEN Xiliang, LAI Jun, ZHANG Legui. Overview on Reinforcement Learning of Multi-agent Game [J]. Computer Engineering and Applications, 2021, 57(21): 1-13.
[6]	LI Zhentao, FENG Yuanzhen, WANG Zhengxin. Fixed-Time Bipartite Consensus of Multi-agent Systems via Event-Triggered Control [J]. Computer Engineering and Applications, 2021, 57(21): 80-86.
[7]	KUANG Liqun, LI Siyuan, FENG Li, HAN Xie, XU Qingyu. Application of Deep Reinforcement Learning Algorithm on Intelligent Military Decision System [J]. Computer Engineering and Applications, 2021, 57(20): 271-278.
[8]	LI Gaoyuan, WANG Jinyu, ZHANG Changgong, FENG Bodi, GAO Yuge, YANG Haitao. Review of SAR Image Simulation Methods [J]. Computer Engineering and Applications, 2021, 57(15): 62-72.
[9]	WU Jie, DUAN Jin, DONG Suoqin, LI Yingchao. Research on Face Recognition Technology of DFM-GAN Network in Cross-Age Simulation [J]. Computer Engineering and Applications, 2021, 57(10): 117-124.
[10]	ZHANG Wuyi, LI Jianguo, GONG Yuwen. Safety Awareness Evolution Model of High-Altitude Parabolic and Falling Objects Prevention [J]. Computer Engineering and Applications, 2021, 57(1): 254-260.
[11]	KANG Leilei, LU Weike, LIU Lan. Coordinate Control Strategy Between Entrance Ramp of City Expressway and Upstream Intersection [J]. Computer Engineering and Applications, 2020, 56(9): 267-271.
[12]	WANG Qi, XUE Hong, CHEN Maomao. Simulation of Ruin Probability for Risk Model Perturbed by Fractional Brown Motion [J]. Computer Engineering and Applications, 2020, 56(8): 215-219.
[13]	YE Yingshi, WEI Fuyi, CAI Xianzi. Research on Fast Dijkstra Algorithm Based on Parallel Computing [J]. Computer Engineering and Applications, 2020, 56(6): 58-65.
[14]	LIU Hongchen, LIU Zhaoxia, ZHANG Long. Mixed [L2] and KL Fidelity Item Image Recovery Algorithm [J]. Computer Engineering and Applications, 2020, 56(5): 214-221.
[15]	SUN Yu, CAO Lei, CHEN Xiliang, XU Zhixiong, LAI Jun. Overview of Multi-Agent Deep Reinforcement Learning [J]. Computer Engineering and Applications, 2020, 56(5): 13-24.

Clustering effect analysis to emergency group incident using Agent-based modeling method

基于Agent的突发性群体事件人群聚集效应分析

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics