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Paper Abstract and Keywords
Presentation 2014-01-22 14:30
Control of Vehicles by Updating Optimal Velocity Function based on Local Information
Yuta Minoshima, Hiroya Nakao (Tokyo Inst. of Tech.) NLP2013-157
Abstract (in Japanese) (See Japanese page) 
(in English) Traffic congestion of vehicles is considered to be a social problem, leading to waste of transportation time. To suppress traffic congestion, various methods for controlling vehicles have been proposed. In this report, within the framework of the optimal velocity model of traffic flows, we propose a control method for suppressing traffic congestion by using the information of local vehicle density. In the original optimal velocity model, the velocity of each vehicle is determined by the optimal velocity function, which specifies the target velocity as a function of the distance between the vehicle and its preceding vehicle just ahead of it. In our proposed method, the parameter of the optimal velocity function is moreover updated depending on the local density of the vehicles. By numerical simulations, we analyze how the traffic state depends on the number of the vehicles used to estimate the local vehicle density and on the global vehicle density. It is found that the proposed method can lead to formation of vehicle groups, thereby suppressing congestion and increasing total traffic flow.
Keyword (in Japanese) (See Japanese page) 
(in English) traffic flow / jam / optimal velocity model / control of vehicles / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 383, NLP2013-157, pp. 145-149, Jan. 2014.
Paper # NLP2013-157 
Date of Issue 2014-01-14 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NLP  
Conference Date 2014-01-21 - 2014-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Niseko Park Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2014-01-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Control of Vehicles by Updating Optimal Velocity Function based on Local Information 
Sub Title (in English)  
Keyword(1) traffic flow  
Keyword(2) jam  
Keyword(3) optimal velocity model  
Keyword(4) control of vehicles  
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1st Author's Name Yuta Minoshima  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Hiroya Nakao  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2014-01-22 14:30:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2013-157 
Volume (vol) vol.113 
Number (no) no.383 
Page pp.145-149 
#Pages
Date of Issue 2014-01-14 (NLP) 


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