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| Presentation | 2021-03-05 09:50 Performance evaluation of traffic vehicle group guidance method based on proximity information sharing -- Impact of percentage of proximity information sharing vehicles -- Shogo Amita, Akihiro Fujihara (Chiba Inst. Tech.)  IN2020-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A route guidance method has been proposed in which each evacuee autonomously collects information on roads that are impassable due to fire or collapsed buildings during a disaster, and does proximity information sharing with each other to speed up movement to the destination. In this paper, we apply this research to traffic vehicles and report our simulation results on the effect of the ratio of proximity information-sharing traffic vehicles on the performance of route guidance. As a result of comparison with the case without proximity information sharing using the Wilcoxon rank sum test, it was confirmed that the effect of reducing travel time and distance was significantly improved even when the percentage of vehicles with proximity information sharing was 25%, when the scale of the road network was large and there were many road closures. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Proximity information sharing / Group intelligence / Route guidance / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 414, IN2020-72, pp. 108-113, March 2021. | |
| Paper # | IN2020-72 | |
| Date of Issue | 2021-02-25 (IN) | |
| 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 | IN2020-72 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2021-03-04 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2021-03-IN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance evaluation of traffic vehicle group guidance method based on proximity information sharing |
| Sub Title (in English) | Impact of percentage of proximity information sharing vehicles |
| Keyword(1) | Proximity information sharing |
| Keyword(2) | Group intelligence |
| Keyword(3) | Route guidance |
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| 1st Author's Name | Shogo Amita |
| 1st Author's Affiliation | Chiba Institute of Technology (Chiba Inst. Tech.) |
| 2nd Author's Name | Akihiro Fujihara |
| 2nd Author's Affiliation | Chiba Institute of Technology (Chiba Inst. Tech.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-05 09:50:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2020-72 |
| Volume (vol) | vol.120 |
| Number (no) | no.414 |
| Page | pp.108-113 |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (IN) |
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