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Paper Abstract and Keywords
Presentation 2023-06-14 14:55
Delivery System Optimization for Multiple Autonomous Vehicles : A DigitalTwin-Based Method and Implementation
Kazuma Nonomura, Yu Tao, Kei Sakaguchi (Tokyo Tech) RCS2023-40
Abstract (in Japanese) (See Japanese page) 
(in English) Current autonomous vehicles assume a distributed control system in which sensing, decision-making, and controlling are independent of other vehicles. Therefore, it is challenging to construct a delivery system that cooperates with multiple vehicles and optimizes the entire system. In this study, we propose an optimal delivery system for automated vehicles with the assistance of digital twin. In particular, we deal with the car-sharing system as a use case of smart mobility platforms. We implement our system by utilizing V2X-enabled digital twin to analyze and feedback optimized delivery plans to automated vehicles. The simulation and actual experiment results confirmed that the proposed car-sharing system can effectively reduce overall delivery time by 63%. Significantly, we found a negligible gap between the simulation and the experiment using digital twin.
Keyword (in Japanese) (See Japanese page) 
(in English) Digital Twin / Car-Sharing System / Autonomous Driving / V2X / Vehicle Routing Problem / Proof-of-Concepts / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 76, RCS2023-40, pp. 69-74, June 2023.
Paper # RCS2023-40 
Date of Issue 2023-06-07 (RCS) 
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 RCS2023-40

Conference Information
Committee RCS  
Conference Date 2023-06-14 - 2023-06-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University, and online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2023-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Delivery System Optimization for Multiple Autonomous Vehicles : A DigitalTwin-Based Method and Implementation 
Sub Title (in English)  
Keyword(1) Digital Twin  
Keyword(2) Car-Sharing System  
Keyword(3) Autonomous Driving  
Keyword(4) V2X  
Keyword(5) Vehicle Routing Problem  
Keyword(6) Proof-of-Concepts  
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Keyword(8)  
1st Author's Name Kazuma Nonomura  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yu Tao  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Kei Sakaguchi  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2023-06-14 14:55:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2023-40 
Volume (vol) vol.123 
Number (no) no.76 
Page pp.69-74 
#Pages
Date of Issue 2023-06-07 (RCS) 


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