A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places

The importance of public spaces in the Chinese population is growing along with China's social and economic development. As a result, the potential for human casualties and economic loss if the emergency evacuation of public space is not timely and effective is also increasing. How to evacuate...

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Main Authors: Dan Chang, Lizhu Cui, Zhao Huang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9057683/
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author Dan Chang
Lizhu Cui
Zhao Huang
author_facet Dan Chang
Lizhu Cui
Zhao Huang
author_sort Dan Chang
collection DOAJ
description The importance of public spaces in the Chinese population is growing along with China's social and economic development. As a result, the potential for human casualties and economic loss if the emergency evacuation of public space is not timely and effective is also increasing. How to evacuate people from public places quickly and safely is the focus of current research in the field. This paper explores the role of people and the evacuation environment as factors that influence emergency evacuations. Then, an evacuation model is established using cellular automata and agent-hybrid theory. Matlab software is used to simulate the evacuation process of people from a school building in the event of a natural disaster, verifying the effectiveness of the model. At the same time, the model provides ideas for the formulation of relevant evacuation schemes.
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spelling doaj.art-e1094bb212ef4c48852b19def5d65c3c2022-12-21T18:12:50ZengIEEEIEEE Access2169-35362020-01-018795417955110.1109/ACCESS.2020.29860129057683A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public PlacesDan Chang0Lizhu Cui1https://orcid.org/0000-0001-8453-4349Zhao Huang2https://orcid.org/0000-0002-6577-5347School of Economics and Management, Beijing Jiaotong University, Beijing, ChinaSchool of Economics and Management, Beijing Jiaotong University, Beijing, ChinaSchool of Economics and Management, Beijing Forestry University, Beijing, ChinaThe importance of public spaces in the Chinese population is growing along with China's social and economic development. As a result, the potential for human casualties and economic loss if the emergency evacuation of public space is not timely and effective is also increasing. How to evacuate people from public places quickly and safely is the focus of current research in the field. This paper explores the role of people and the evacuation environment as factors that influence emergency evacuations. Then, an evacuation model is established using cellular automata and agent-hybrid theory. Matlab software is used to simulate the evacuation process of people from a school building in the event of a natural disaster, verifying the effectiveness of the model. At the same time, the model provides ideas for the formulation of relevant evacuation schemes.https://ieeexplore.ieee.org/document/9057683/Agent-hybridcellular automataemergency evacuationpublic places
spellingShingle Dan Chang
Lizhu Cui
Zhao Huang
A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places
IEEE Access
Agent-hybrid
cellular automata
emergency evacuation
public places
title A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places
title_full A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places
title_fullStr A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places
title_full_unstemmed A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places
title_short A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places
title_sort cellular automaton agent hybrid model for emergency evacuation of people in public places
topic Agent-hybrid
cellular automata
emergency evacuation
public places
url https://ieeexplore.ieee.org/document/9057683/
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