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Paper Abstract and Keywords
Presentation 2023-03-02 10:40
A Study on Traffic Efficiency Effectiveness and Realization Cost of Cooperative Driving by Multi-layer Edge Computing
Yusuke Inagaki (UT), Akihiro Ogawa, Kenta Kuriyama, Yoshihisa Nagamura (SEI), Norihiro Fukumoto, Akihiro Nakao (UT) NS2022-177
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, "cooperative driving", in which multiple vehicles acquire, coordinate and control their position information at intersections and merging points in urban areas, and drive in a cooperative, has attracted much attention. We propose a multi-layer Edge Server (ES) to optimize the edge positions for computational processing according to the nature of the information collected by Intelligent Transport Systems (ITS) for optimal cooperative driving control and show that a multi-layer ES is effective for cooperative driving control when we use travel time as a KPI.
However, we establish no method for evaluating the effectiveness of the multi-layer ES using various KPIs to assess traffic efficiency effects, or for evaluating the cost-benefit arising from the realization of the multi-layer ES.
In this paper, we use the Metropolitan Expressway as a use case and simulate it using real traffic data. We show that our proposed cooperative driving control using multi-layer ES is effective in achieving various KPIs related to traffic efficiency. We also establish a calculation method for cost-benefit analysis and a method for evaluating the feasibility of the multi-layer ES. And although it is only an example, and not for research purposes, we perform a cost-benefit analysis using a formula that we define in practice.
Keyword (in Japanese) (See Japanese page) 
(in English) MEC / cooperative driving / ITS / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 406, NS2022-177, pp. 59-64, March 2023.
Paper # NS2022-177 
Date of Issue 2023-02-23 (NS) 
ISSN 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)
Download PDF NS2022-177

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Traffic Efficiency Effectiveness and Realization Cost of Cooperative Driving by Multi-layer Edge Computing 
Sub Title (in English)  
Keyword(1) MEC  
Keyword(2) cooperative driving  
Keyword(3) ITS  
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1st Author's Name Yusuke Inagaki  
1st Author's Affiliation University of Tokyo (UT)
2nd Author's Name Akihiro Ogawa  
2nd Author's Affiliation Sumitomo Electric Industries, Ltd. (SEI)
3rd Author's Name Kenta Kuriyama  
3rd Author's Affiliation Sumitomo Electric Industries, Ltd. (SEI)
4th Author's Name Yoshihisa Nagamura  
4th Author's Affiliation Sumitomo Electric Industries, Ltd. (SEI)
5th Author's Name Norihiro Fukumoto  
5th Author's Affiliation University of Tokyo (UT)
6th Author's Name Akihiro Nakao  
6th Author's Affiliation University of Tokyo (UT)
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Speaker Author-1 
Date Time 2023-03-02 10:40:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2022-177 
Volume (vol) vol.122 
Number (no) no.406 
Page pp.59-64 
#Pages
Date of Issue 2023-02-23 (NS) 


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