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Paper Abstract and Keywords
Presentation 2011-06-02 13:30
[Encouragement Talk] Mobile Phone-Based Traffic State Estimation -- The Penetration Rate Issue --
Tran Minh Quang, Eiji Kamioka (Shibaura Inst. of Tech.) MoMuC2011-3
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies the relationship between the penetration rate and the effectiveness of the mobile phone-based traffic state estimation. The study reveals that the higher the penetration rate, the better the traffic state estimation is. In the real world applications, however, there is no-way to assure the penetration rate to be always relevant, especially when the system has just been launched. This study proposes notable solutions to improve the effectiveness of the traffic state estimation. Two novel “velocity-density inference” models, namely the “adaptive” and the “adaptive feedback” velocity-density inference circuits, and a neural network-based prediction model are proposed to assure the effectiveness of the traffic state estimation in cases of low penetration rate. These innovations are practically meaningful since they help to guarantee a high accurate traffic state estimation, even with a very low penetration rate, namely 0%, for instance. The experimental evaluations reveal the effectiveness as well as the robustness of the proposed solutions.
Keyword (in Japanese) (See Japanese page) 
(in English) Mobile probes / Traffic state estimation / Penetration rate / Velocity-density / inference circuits / ANN-based prediction model / /  
Reference Info. IEICE Tech. Rep., vol. 111, June 2011.
Paper #  
Date of Issue 2011-05-26 (MoMuC) 
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 MoMuC2011-3

Conference Information
Committee MoNA IPSJ-MBL IPSJ-DPS  
Conference Date 2011-06-02 - 2011-06-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Univ. 50th Anniversary Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Computing, Mobile Applications, Ubiquitous Communication, Moble Multimedia Communication, and others 
Paper Information
Registration To MoNA 
Conference Code 2011-06-MoMuC-MBL-DPS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mobile Phone-Based Traffic State Estimation 
Sub Title (in English) The Penetration Rate Issue 
Keyword(1) Mobile probes  
Keyword(2) Traffic state estimation  
Keyword(3) Penetration rate  
Keyword(4) Velocity-density  
Keyword(5) inference circuits  
Keyword(6) ANN-based prediction model  
Keyword(7)  
Keyword(8)  
1st Author's Name Tran Minh Quang  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
2nd Author's Name Eiji Kamioka  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
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Speaker Author-1 
Date Time 2011-06-02 13:30:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoMuC2011-3 
Volume (vol) vol.111 
Number (no) no.75 
Page pp.27-32 
#Pages 6 
Date of Issue 2011-05-26 (MoMuC) 

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