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| Presentation | 2020-12-11 14:20 Prediction of Train Delays at Stations Using Convolutional Neural Networks with Actual Operation Data Tsukasa Takahashi, Takumi Fukuda, Sei Takahashi (Nihon Univ.), Hideo Nakamura (The Univ. of Tokyo)  DC2020-63 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Trains in the metropolitan area have high congestion rates during rush hours. Congestion causes delays, and there is a lot of research and countermeasures to mitigate the delays. In order to evaluate the effect of the countermeasure against delay, we need to evaluate the delays before and after the countermeasures. When the evaluation is done by simulation, it is necessary to predict the delays according to the driving conditions. We defined a series to facilitate the extraction of features from the actual operation data, and used a convolutional neural network to learn the features, and obtained the highest prediction accuracy of 67.1% for Station I. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Delay resolution / Delay improvement / Train delay / Operation management / Machine learning / Convolutional neural network / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 288, DC2020-63, pp. 23-26, Dec. 2020. | |
| Paper # | DC2020-63 | |
| Date of Issue | 2020-12-04 (DC) | |
| 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 | DC2020-63 |
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| Conference Information | |
| Committee | DC |
| Conference Date | 2020-12-11 - 2020-12-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | DC |
| Conference Code | 2020-12-DC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of Train Delays at Stations Using Convolutional Neural Networks with Actual Operation Data |
| Sub Title (in English) | |
| Keyword(1) | Delay resolution |
| Keyword(2) | Delay improvement |
| Keyword(3) | Train delay |
| Keyword(4) | Operation management |
| Keyword(5) | Machine learning |
| Keyword(6) | Convolutional neural network |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tsukasa Takahashi |
| 1st Author's Affiliation | Nihon University (Nihon Univ.) |
| 2nd Author's Name | Takumi Fukuda |
| 2nd Author's Affiliation | Nihon University (Nihon Univ.) |
| 3rd Author's Name | Sei Takahashi |
| 3rd Author's Affiliation | Nihon University (Nihon Univ.) |
| 4th Author's Name | Hideo Nakamura |
| 4th Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2020-12-11 14:20:00 |
| Presentation Time | 20 minutes |
| Registration for | DC |
| Paper # | DC2020-63 |
| Volume (vol) | vol.120 |
| Number (no) | no.288 |
| Page | pp.23-26 |
| #Pages | 4 |
| Date of Issue | 2020-12-04 (DC) |
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