A high-density crowd state judgment model based on entropy theory.

A high-density crowd state is prone to cause large-scale crowd stampede accidents that seriously threaten the people's security and property. The key to preventing crowd congestion is to accurately predict the location and time of crowd events, particularly when there is a high density of peopl...

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Autores principales:	Guomin Zhao, Cong Li, Guangji Xu, Falong He, Jing Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1e988c7a73354bc2b9add7423f7487d9
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id	oai:doaj.org-article:1e988c7a73354bc2b9add7423f7487d9
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spelling	oai:doaj.org-article:1e988c7a73354bc2b9add7423f7487d92021-12-02T20:04:43ZA high-density crowd state judgment model based on entropy theory.1932-620310.1371/journal.pone.0255468https://doaj.org/article/1e988c7a73354bc2b9add7423f7487d92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255468https://doaj.org/toc/1932-6203A high-density crowd state is prone to cause large-scale crowd stampede accidents that seriously threaten the people's security and property. The key to preventing crowd congestion is to accurately predict the location and time of crowd events, particularly when there is a high density of people. In this paper, the entropy theory is used to characterize the state of a crowded system. The theoretical entropy Sr and the actual entropy S of the crowd system are obtained according to the area occupied by the different crowd state The maximum entropy value and the actual entropy value under different conditions of the system are compared to judge the state of crowded extent. The results show that the model is practical and effective. According to the situation of the crowd, different management and evacuation measures are considered to prevent the occurrence of crowd accidents.Guomin ZhaoCong LiGuangji XuFalong HeJing ZhangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0255468 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guomin Zhao Cong Li Guangji Xu Falong He Jing Zhang A high-density crowd state judgment model based on entropy theory.
description	A high-density crowd state is prone to cause large-scale crowd stampede accidents that seriously threaten the people's security and property. The key to preventing crowd congestion is to accurately predict the location and time of crowd events, particularly when there is a high density of people. In this paper, the entropy theory is used to characterize the state of a crowded system. The theoretical entropy Sr and the actual entropy S of the crowd system are obtained according to the area occupied by the different crowd state The maximum entropy value and the actual entropy value under different conditions of the system are compared to judge the state of crowded extent. The results show that the model is practical and effective. According to the situation of the crowd, different management and evacuation measures are considered to prevent the occurrence of crowd accidents.
format	article
author	Guomin Zhao Cong Li Guangji Xu Falong He Jing Zhang
author_facet	Guomin Zhao Cong Li Guangji Xu Falong He Jing Zhang
author_sort	Guomin Zhao
title	A high-density crowd state judgment model based on entropy theory.
title_short	A high-density crowd state judgment model based on entropy theory.
title_full	A high-density crowd state judgment model based on entropy theory.
title_fullStr	A high-density crowd state judgment model based on entropy theory.
title_full_unstemmed	A high-density crowd state judgment model based on entropy theory.
title_sort	high-density crowd state judgment model based on entropy theory.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/1e988c7a73354bc2b9add7423f7487d9
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A high-density crowd state judgment model based on entropy theory.

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