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| Presentation | 2021-03-16 09:15 Modeling Inter-sector Air Traffic Flow and Congestion Degree Prediction Ryosuke Mishima, Kunihiko Hiraishi (JAIST)  MSS2020-49 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In 2015, the Ministry of Land, Infrastructure and Transportation have started to provide information on aircraft flying over Japan, called CARATS Open Data, and conducted research on aviation systems actively. Airspace is divided into sectors, which are used for limiting air traffic to control safely and efficiently. The demand for air transportation is increasing. By this reason, new optimization techniques and efficient control have been demanded to predict and resolve demand-capacity imbalances in the airspace. In this paper, we aim to build models by applying clustering analysis to state transition matrices generated from CARATS Open Data. In addition, we propose a method to predict congestion of sector based on Aggregate Sector Flow Model and evaluates the prediction accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Predictive modeling / Big data / Clustering / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 429, MSS2020-49, pp. 27-32, March 2021. | |
| Paper # | MSS2020-49 | |
| Date of Issue | 2021-03-08 (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 | MSS2020-49 |
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| Conference Information | |
| Committee | NLP MSS |
| Conference Date | 2021-03-15 - 2021-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2021-03-NLP-MSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Modeling Inter-sector Air Traffic Flow and Congestion Degree Prediction |
| Sub Title (in English) | |
| Keyword(1) | Predictive modeling |
| Keyword(2) | Big data |
| Keyword(3) | Clustering |
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| 1st Author's Name | Ryosuke Mishima |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 2nd Author's Name | Kunihiko Hiraishi |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
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| Speaker | Author-1 |
| Date Time | 2021-03-16 09:15:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2020-49 |
| Volume (vol) | vol.120 |
| Number (no) | no.429 |
| Page | pp.27-32 |
| #Pages | 6 |
| Date of Issue | 2021-03-08 (MSS) |
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