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Paper Abstract and Keywords
Presentation 2019-03-04 10:55
Improvement in travel time prediction based on linear regression models
Shigeharu Toyoda, Ken-ichi Masuda, Kentarou Takaki (SEI) ITS2018-87
Abstract (in Japanese) (See Japanese page) 
(in English) In the case of the database of the Japan Digital Road Map Association, there are 1.54 million road links even in Japan's basic road (prefectural road or main road 5.5m wide or more). When creating a regression model for each road link, it is desirable to use a linear model from the viewpoint of learning time. In order to improve prediction accuracy while using a linear model, we appled our knowledge on congestion phenomenon to regression. We report a new method to predict by classifying congestion phenomena into plural.
Keyword (in Japanese) (See Japanese page) 
(in English) Travel Time / Prediction / Linear Regression Model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 464, ITS2018-87, pp. 5-10, March 2019.
Paper # ITS2018-87 
Date of Issue 2019-02-25 (ITS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 ITS2018-87

Conference Information
Committee ITS IEE-ITS  
Conference Date 2019-03-04 - 2019-03-04 
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 2019-03-ITS-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement in travel time prediction based on linear regression models 
Sub Title (in English)  
Keyword(1) Travel Time  
Keyword(2) Prediction  
Keyword(3) Linear Regression Model  
1st Author's Name Shigeharu Toyoda  
1st Author's Affiliation Sumitomo Electric Industries, Ltd. (SEI)
2nd Author's Name Ken-ichi Masuda  
2nd Author's Affiliation Sumitomo Electric Industries, Ltd. (SEI)
3rd Author's Name Kentarou Takaki  
3rd Author's Affiliation Sumitomo Electric Industries, Ltd. (SEI)
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Date Time 2019-03-04 10:55:00 
Presentation Time 25 
Registration for ITS 
Paper # IEICE-ITS2018-87 
Volume (vol) IEICE-118 
Number (no) no.464 
Page pp.5-10 
#Pages IEICE-6 
Date of Issue IEICE-ITS-2019-02-25 

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