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Paper Abstract and Keywords
Presentation 2020-11-27 16:45
[Invited Lecture] itocon: Bus Stop Congestion Visualizing System with Multiple Congestion Sensors
Shunei Inoue, Ryo Takahashi, Kenta Hayashi, Yudai Mitsukude, Masanori Futamata, Shuta Matsuo, Shigemi Ishida, Yutaka Arakawa, ShigeruTakano (Kyushu Univ.) SeMI2020-42
Abstract (in Japanese) (See Japanese page) 
(in English) Kyushu University Ito Campus is the biggest campus in Japan where more than 20,000 students andstaff are enrolled. About 46 % of workers and 23 % of students commute on Kyushu University’s Ito campus bybus. As a result of the spread of COVID-19, we have to avoid crowded places such as trains and buses duringthe commute-time period. It has now been resumed a part of the on-cumpus lectures. A number of workers andstudents restart communting on the Ito Campus and have to avoid crowded buses by staggered work/commutationhours. The crowdedness, however, is dependent on the weather condition, and even on the given day. Therefore, wehave developed itocon, a system that visualizes congestion at a bus stop using multiple congestion sensors to makeit easier to keep away from crowded places. In this talk, we present the design details of the itocon system.
Keyword (in Japanese) (See Japanese page) 
(in English) crowdedness estimation / COVID-19 / visualization / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 261, SeMI2020-42, pp. 107-107, Nov. 2020.
Paper # SeMI2020-42 
Date of Issue 2020-11-19 (SeMI) 
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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Conference Information
Committee SRW SeMI CNR  
Conference Date 2020-11-26 - 2020-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SeMI 
Conference Code 2020-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) itocon: Bus Stop Congestion Visualizing System with Multiple Congestion Sensors 
Sub Title (in English)  
Keyword(1) crowdedness estimation  
Keyword(2) COVID-19  
Keyword(3) visualization  
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1st Author's Name Shunei Inoue  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Ryo Takahashi  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Kenta Hayashi  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Yudai Mitsukude  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Masanori Futamata  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Shuta Matsuo  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
7th Author's Name Shigemi Ishida  
7th Author's Affiliation Kyushu University (Kyushu Univ.)
8th Author's Name Yutaka Arakawa  
8th Author's Affiliation Kyushu University (Kyushu Univ.)
9th Author's Name ShigeruTakano  
9th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2020-11-27 16:45:00 
Presentation Time 15 minutes 
Registration for SeMI 
Paper # SeMI2020-42 
Volume (vol) vol.120 
Number (no) no.261 
Page p.107 
#Pages 1 
Date of Issue 2020-11-19 (SeMI) 

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