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Paper Abstract and Keywords
Presentation 2026-06-12 13:30
Simulation Acceleration Method for Emergency Vehicle Route Selection -- Computational Cost Reduction for Large-Scale Areas --
Jinsei Matsumoto, Atsuo Ozaki (OIT) CAS2026-21 VLD2026-21 MSS2026-21
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the prolongation of on-scene arrival times driven by the increasing number of emergency dispatches has become a critical social issue, creating an urgent need for technologies that can rapidly derive routes for emergency vehicles. Previous research proposed an acceleration method that simultaneously explores multiple routes using dummy agents within a multi-agent simulation environment; however, wide-area networks present a challenge where the sharp increase in the number of generated dummy agents compromises real-time performance. To address this issue, this study introduces a scale control parameter N for the target road network to restrict the search area. In this study, by controlling the scale of the target road network for evaluation, we quantitatively demonstrated the number of dummy agents generated in accordance with time constraints and the volume of regular vehicles.
Keyword (in Japanese) (See Japanese page) 
(in English) Emergency vehicle / High-speed simulation / Dummy agent / Route selection / Wide area / Computational load reduction / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 65, MSS2026-21, pp. 114-119, June 2026.
Paper # MSS2026-21 
Date of Issue 2026-06-04 (CAS, VLD, MSS) 
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 CAS2026-21 VLD2026-21 MSS2026-21

Conference Information
Committee MSS CAS VLD  
Conference Date 2026-06-11 - 2026-06-12 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2026-06-MSS-CAS-VLD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Simulation Acceleration Method for Emergency Vehicle Route Selection 
Sub Title (in English) Computational Cost Reduction for Large-Scale Areas 
Keyword(1) Emergency vehicle  
Keyword(2) High-speed simulation  
Keyword(3) Dummy agent  
Keyword(4) Route selection  
Keyword(5) Wide area  
Keyword(6) Computational load reduction  
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Keyword(8)  
1st Author's Name Jinsei Matsumoto  
1st Author's Affiliation Osaka Institute of Technology (OIT)
2nd Author's Name Atsuo Ozaki  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2026-06-12 13:30:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # CAS2026-21, VLD2026-21, MSS2026-21 
Volume (vol) vol.126 
Number (no) no.63(CAS), no.64(VLD), no.65(MSS) 
Page pp.114-119 
#Pages 6 
Date of Issue 2026-06-04 (CAS, VLD, MSS) 

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