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) |
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NC2022-25 IBISML2022-25 |
Conference Information |
Committee |
NC IBISML IPSJ-BIO IPSJ-MPS |
Conference Date |
2022-06-27 - 2022-06-29 |
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(See Japanese page) |
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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) |
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Keyword(1) |
Pedestrian Simulation |
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Social Force Model |
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Generation Algorithm |
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Data Assimilation |
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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 |
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Kumamoto University (Kumamoto Univ) |
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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 |
6 |
Date of Issue |
2022-06-20 (NC, IBISML) |
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