| Paper Abstract and Keywords |
| Presentation |
2022-01-27 10:40
Technology for understanding road conditions using IoT sensors Keisuke Kako, Akihiro Tsuno, Hideaki Kimura (Chubu Univ) EST2021-59 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In the past, both in disaster and normal time, road conditions have been assessed by on-site technologies in which engineers go directly to the site for inspection. In recent years, in response to social problems such as a shortage of engineers due to the declining birthrate and aging population, and increasing costs, there has been a need for technology that enables remote, simple, and low-cost monitoring of road conditions during both disaster and normal time. In this study, we propose a system for surveying the direction of collapse utility poles and traffic volume by using IoT sensors, which are becoming increasingly popular. In this paper, as a technical verification of the traffic census in this system, we conducted an experiment using an acceleration sensor and a piezo sensor, and confirmed the effectiveness of the proposed technology so report it. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
IoT Sensor / Traffic census / Acceleration sensor / Piezoelectric sensor / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 358, EST2021-59, pp. 15-18, Jan. 2022. |
| Paper # |
EST2021-59 |
| Date of Issue |
2022-01-20 (EST) |
| 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 |
EST2021-59 |
| Conference Information |
| Committee |
EST |
| Conference Date |
2022-01-27 - 2022-01-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Simulation techniques, etc. |
| Paper Information |
| Registration To |
EST |
| Conference Code |
2022-01-EST |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Technology for understanding road conditions using IoT sensors |
| Sub Title (in English) |
|
| Keyword(1) |
IoT Sensor |
| Keyword(2) |
Traffic census |
| Keyword(3) |
Acceleration sensor |
| Keyword(4) |
Piezoelectric sensor |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Keisuke Kako |
| 1st Author's Affiliation |
Chubu University (Chubu Univ) |
| 2nd Author's Name |
Akihiro Tsuno |
| 2nd Author's Affiliation |
Chubu University (Chubu Univ) |
| 3rd Author's Name |
Hideaki Kimura |
| 3rd Author's Affiliation |
Chubu University (Chubu Univ) |
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| Speaker |
Author-1 |
| Date Time |
2022-01-27 10:40:00 |
| Presentation Time |
20 minutes |
| Registration for |
EST |
| Paper # |
EST2021-59 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.358 |
| Page |
pp.15-18 |
| #Pages |
4 |
| Date of Issue |
2022-01-20 (EST) |