IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2022-06-29 13:30
Acceleration of data assimilation for Large-scale human flow data
Miyazaki Kazuya, Kiyama Masato, Amagasaki Motoki, Okamoto Toshiaki (Kumamoto Univ) NC2022-25 IBISML2022-25
Abstract (in Japanese) (See Japanese page) 
(in English) Data assimilation has been attracting attention as the importance of understanding human flow has been emphasized in the wake of accidents at events. Data assimilation compares simulation results with observed data and adjusts parameters in the simulation. However, pedestrian simulation has a problem that the simulation takes a long time when the number of agents increases. In order to reduce the simulation time, we implemented the simulation in C and used Numpy, a matrix computation library, to speed up the simulation and improve the model. In this paper, we use the Mojiko Fireworks Festival data set to speed up the data assimilation process. In the evaluation, we compared the execution time and assimilation accuracy with simulators in previous studies.
Keyword (in Japanese) (See Japanese page) 
(in English) Pedestrian Simulation / Social Force Model / Generation Algorithm / Data Assimilation / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 89, NC2022-25, pp. 178-183, June 2022.
Paper # NC2022-25 
Date of Issue 2022-06-20 (NC, IBISML) 
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 NC2022-25 IBISML2022-25

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2022-06-27 - 2022-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2022-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of data assimilation for Large-scale human flow data 
Sub Title (in English)  
Keyword(1) Pedestrian Simulation  
Keyword(2) Social Force Model  
Keyword(3) Generation Algorithm  
Keyword(4) Data Assimilation  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Miyazaki Kazuya  
1st Author's Affiliation Kumamoto University (Kumamoto Univ)
2nd Author's Name Kiyama Masato  
2nd Author's Affiliation Kumamoto University (Kumamoto Univ)
3rd Author's Name Amagasaki Motoki  
3rd Author's Affiliation Kumamoto University (Kumamoto Univ)
4th Author's Name Okamoto Toshiaki  
4th Author's Affiliation Kumamoto University (Kumamoto Univ)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2022-06-29 13:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2022-25, IBISML2022-25 
Volume (vol) vol.122 
Number (no) no.89(NC), no.90(IBISML) 
Page pp.178-183 
#Pages
Date of Issue 2022-06-20 (NC, IBISML) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan