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Paper Abstract and Keywords
Presentation 2022-03-04 09:40
Acceleration of Indoor Evacuation Simulation by Network Model and Comparison with Particle Model
Kota Ishisaka, Koichiro Daidai, Norika Nakamura, Nao Ito (NlIT, Toyama College) CAS2021-87 CS2021-89
Abstract (in Japanese) (See Japanese page) 
(in English) In Japan, many disasters have occurred due to natural conditions such as earthquakes and typhoons. In such cases, there is a concern about secondary disasters caused by crowd panic in places where many people gather, such as commercial facilities. In order to prevent secondary disasters, it is necessary for the crowd to evacuate smoothly. We have developed an evacuation simulation using a particle model. However, the particle model has the problem that the number of simulation operations increases as the number of particles increases. In this study, we developed an evacuation simulation using a network model to reduce the simulation time. In addition, we evaluated the model by comparing the results of the particle model and the network model simulation. As a result, the simulation time of the network model was 0.02 to 0.06 times faster than that of the particle model. In addition, the number of evacuees from each exit of the evacuation site was compared, and the results were close to those of the particle model.
Keyword (in Japanese) (See Japanese page) 
(in English) Evacuation Simulation / Particle Model / Network Model / Multi Agent / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 394, CAS2021-87, pp. 71-74, March 2022.
Paper # CAS2021-87 
Date of Issue 2022-02-24 (CAS, CS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CAS2021-87 CS2021-89

Conference Information
Committee CAS CS  
Conference Date 2022-03-03 - 2022-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. 
Paper Information
Registration To CAS 
Conference Code 2022-03-CAS-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of Indoor Evacuation Simulation by Network Model and Comparison with Particle Model 
Sub Title (in English)  
Keyword(1) Evacuation Simulation  
Keyword(2) Particle Model  
Keyword(3) Network Model  
Keyword(4) Multi Agent  
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1st Author's Name Kota Ishisaka  
1st Author's Affiliation National Institute of Technology, Toyama College (NlIT, Toyama College)
2nd Author's Name Koichiro Daidai  
2nd Author's Affiliation National Institute of Technology, Toyama College (NlIT, Toyama College)
3rd Author's Name Norika Nakamura  
3rd Author's Affiliation National Institute of Technology, Toyama College (NlIT, Toyama College)
4th Author's Name Nao Ito  
4th Author's Affiliation National Institute of Technology, Toyama College (NlIT, Toyama College)
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Speaker Author-1 
Date Time 2022-03-04 09:40:00 
Presentation Time 25 minutes 
Registration for CAS 
Paper # CAS2021-87, CS2021-89 
Volume (vol) vol.121 
Number (no) no.394(CAS), no.395(CS) 
Page pp.71-74 
#Pages
Date of Issue 2022-02-24 (CAS, CS) 


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