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| Presentation | 2022-03-04 10:05 Intelligent Signal Control Based on Deep Learning for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science)  CAS2021-88 CS2021-90 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This study develops a new signal control method based on deep learning for an ultradiscrete traffic flow model. Especially, by using optimal signal control laws obtained in our previous study, we derive a deep-learning-based control method that switches signals automatically. From numerical simulation results, it can be confirmed that the purposed method can reduce the total traffic jams most in comparison with other methods, and the computation time can be also reduced considerably. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ultradiscrete Traffic Flow Model / Signal Control / Deep Learning / Reduction of Traffic Jams / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 394, CAS2021-88, pp. 75-80, March 2022. | |
| Paper # | CAS2021-88 | |
| Date of Issue | 2022-02-24 (CAS, CS) | |
| 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 | CAS2021-88 CS2021-90 |
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| Conference Information | |
| Committee | CAS CS |
| Conference Date | 2022-03-03 - 2022-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. |
| Paper Information | |
| Registration To | CAS |
| Conference Code | 2022-03-CAS-CS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Intelligent Signal Control Based on Deep Learning for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams |
| Sub Title (in English) | |
| Keyword(1) | Ultradiscrete Traffic Flow Model |
| Keyword(2) | Signal Control |
| Keyword(3) | Deep Learning |
| Keyword(4) | Reduction of Traffic Jams |
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| 1st Author's Name | Yuuki Aoki |
| 1st Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 2nd Author's Name | Tatsuya Kai |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2022-03-04 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | CAS |
| Paper # | CAS2021-88, CS2021-90 |
| Volume (vol) | vol.121 |
| Number (no) | no.394(CAS), no.395(CS) |
| Page | pp.75-80 |
| #Pages | 6 |
| Date of Issue | 2022-02-24 (CAS, CS) |
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