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| Presentation | 2017-03-07 15:55 Trip time prediction using traffic state prediction model derived from probe car data Yuta Ashida, Itaru Nishioka (NEC)  ITS2016-90 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Trip time prediction is useful for not only private road users but also some business operators, such as logistics providers. Most of present car navigation systems estimate trip time based on present traffic state measured by road side sensors. However, future traffic states which affects an accuracy of trip time prediction need to be considered. In this paper, we propose a trip time prediction method which can take into account future traffic state. In our method, prediction models of traffic states are learned for each road segment from probe car data. These models are used to consider future traffic state of road segment where a vehicle will be during the trip. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Probe Data / Floating Car Data / Congestion Prediction / Machine Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 502, ITS2016-90, pp. 81-86, March 2017. | |
| Paper # | ITS2016-90 | |
| Date of Issue | 2017-02-28 (ITS) | |
| ISSN | Print edition: ISSN 0913-5685 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 | ITS2016-90 |
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| Conference Information | |
| Committee | ITS IEE-ITS |
| Conference Date | 2017-03-07 - 2017-03-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information Processing for ITS, etc. |
| Paper Information | |
| Registration To | ITS |
| Conference Code | 2017-03-ITS-ITS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Trip time prediction using traffic state prediction model derived from probe car data |
| Sub Title (in English) | |
| Keyword(1) | Probe Data |
| Keyword(2) | Floating Car Data |
| Keyword(3) | Congestion Prediction |
| Keyword(4) | Machine Learning |
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| 1st Author's Name | Yuta Ashida |
| 1st Author's Affiliation | NEC Corporation (NEC) |
| 2nd Author's Name | Itaru Nishioka |
| 2nd Author's Affiliation | NEC Corporation (NEC) |
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| Speaker | Author-1 |
| Date Time | 2017-03-07 15:55:00 |
| Presentation Time | 20 minutes |
| Registration for | ITS |
| Paper # | ITS2016-90 |
| Volume (vol) | vol.116 |
| Number (no) | no.502 |
| Page | pp.81-86 |
| #Pages | 6 |
| Date of Issue | 2017-02-28 (ITS) |
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