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Paper Abstract and Keywords
Presentation 2022-09-02 10:40
A Study of Multilayer Edge Computing for Optimizing Cooperative Driving in Intelligent Transport Systems
Yusuke Inagaki, Akihiro Nakao (UT) NS2022-67
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, attention has focused on advanced road transportation systems such as "remote driving technology" and "cooperative driving technology" that enable multiple vehicles to pass safely, smoothly, and without delay at intersections and merging points in urban areas by acquiring, coordinating, and controlling their positions through ultra-low latency communications. In the cooperative driving technology, the increase in the amount of information collected at the control point enables optimal control, but at the same time, there is a trade-off problem of increasing delays. Since cloud-based vehicle control and single-layer MEC-based vehicle control cannot solve this problem, two-layer ES (edge server) control has been proposed. However, when MEC is applied to a large-scale traffic network such as that used in ITS (Intelligent Transport Systems), which is one of the elements for future smart cities, it is necessary to collect information from many points and separate control. Therefore, there was a possibility that a multi-layer ES with more than two layers would be required in the future, but the structure has not yet been discussed.
In this study, we propose to consider the structure and number of layers of a multi-layer ES to optimize the cooperative driving control using the Metropolitan Expressway as a use case. In this paper, as an example of overall optimization in cooperative driving control, we use the degree of reduction in average travel time by giving route instructions to vehicles to avoid driving in congested areas and by eliminating the congestion itself as an evaluation index. The simulation results show that the control using the multilayer ES (information update cycle: 20 s, 3 layers) can reduce the average travel time per vehicle by 12.95 % compared to the static route control and by 9.07 % compared to the control using NEXCO's information (update cycle: 5 m, 2 layers ES).
Keyword (in Japanese) (See Japanese page) 
(in English) MEC / cooperative driving / ITS / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 170, NS2022-67, pp. 37-42, Sept. 2022.
Paper # NS2022-67 
Date of Issue 2022-08-25 (NS) 
ISSN 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 NS2022-67

Conference Information
Committee NS IN CS NV  
Conference Date 2022-09-01 - 2022-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) MALIOS (Iwate Prefecture) + Online Meeting 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. 
Paper Information
Registration To NS 
Conference Code 2022-09-NS-IN-CS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Multilayer Edge Computing for Optimizing Cooperative Driving in Intelligent Transport Systems 
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 Nakao  
2nd Author's Affiliation University of Tokyo (UT)
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Speaker Author-1 
Date Time 2022-09-02 10:40:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2022-67 
Volume (vol) vol.122 
Number (no) no.170 
Page pp.37-42 
#Pages 6 
Date of Issue 2022-08-25 (NS) 

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