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Paper Abstract and Keywords
Presentation 2025-02-19 10:00
Large-scale crowd simulation for distributed retreat optimization in two trials
Ayuri Kawahara, ryo niwa (Tsukuba Univ./AIST), masaki onishi (AIST/Tsukuba Univ.) AI2024-11
Abstract (in Japanese) (See Japanese page) 
(in English) Decentralized exits are effective in alleviating congestion and reducing travel time when exiting event venues.
Although methods for designing optimal exit strategies using simulation have been proposed, the computational cost of running a large number of simulations is high.
However, the large computational cost of running a large number of simulations is an issue. We propose a method to find the exit time difference that minimizes the travel time in a two-trial simulation.
The effectiveness of the proposed method is verified through simulations at three large event venues.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed retreat / crowd simulation / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 377, AI2024-11, pp. 13-18, Feb. 2025.
Paper # AI2024-11 
Date of Issue 2025-02-12 (AI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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 AI2024-11

Conference Information
Committee AI  
Conference Date 2025-02-19 - 2025-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SMASH25 Winter Symposium 
Paper Information
Registration To AI 
Conference Code 2025-02-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Large-scale crowd simulation for distributed retreat optimization in two trials 
Sub Title (in English)  
Keyword(1) Distributed retreat  
Keyword(2) crowd simulation  
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1st Author's Name Ayuri Kawahara  
1st Author's Affiliation Tsukuba University/National Institute of Advanced Industrial Science and Technology (Tsukuba Univ./AIST)
2nd Author's Name ryo niwa  
2nd Author's Affiliation Tsukuba University/National Institute of Advanced Industrial Science and Technology (Tsukuba Univ./AIST)
3rd Author's Name masaki onishi  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology/Tsukuba University (AIST/Tsukuba Univ.)
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Speaker Author-1 
Date Time 2025-02-19 10:00:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2024-11 
Volume (vol) vol.124 
Number (no) no.377 
Page pp.13-18 
#Pages 6 
Date of Issue 2025-02-12 (AI) 

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