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Paper Abstract and Keywords
Presentation 2018-02-15 11:30
Stochastic Discrete Event Simulation Environment for Autonomous Cart Fleet for Artificial Intelligent Training and Reinforcement Learning Algorithms
Naohisa Hashimoto, Ali Boyali, Shin Kato (AIST), Takao Otsuka, Kazuhisa Mizushima, Manabu Omae (Keio Univ) ITS2017-66 IE2017-98
Abstract (in Japanese) (See Japanese page) 
(in English) In this report we give details of a Discrete Event Simulation (DES) framework coded in Python environment for simulation and analysis of a customized Personal Rapid Transport (PRT) with passenger behavior. The prior analysis of the system is a must before deployment of the autonomous PRT cars (carts) to make decision of initial investment, number of carts required and to design supervisory control algorithms that reduces the defined cost functional in the optimization. The simulation program coded in consideration of training Artificial Intelligent (AI) agents by Deep Reinforcement Learning methods similar to OpenAI Gym environment. The basic requirements for modeling of discreet stochastic simulation and analyses are summarized in the report.
Keyword (in Japanese) (See Japanese page) 
(in English) Rapid Transit System Simulation / Reinforcement Learning based Supervisory Control / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 431, ITS2017-66, pp. 29-33, Feb. 2018.
Paper # ITS2017-66 
Date of Issue 2018-02-08 (ITS, IE) 
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 ITS2017-66 IE2017-98

Conference Information
Committee ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT  
Conference Date 2018-02-15 - 2018-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITS 
Conference Code 2018-02-ITS-IE-MMS-HI-ME-AIT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stochastic Discrete Event Simulation Environment for Autonomous Cart Fleet for Artificial Intelligent Training and Reinforcement Learning Algorithms 
Sub Title (in English)  
Keyword(1) Rapid Transit System Simulation  
Keyword(2) Reinforcement Learning based Supervisory Control  
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1st Author's Name Naohisa Hashimoto  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Ali Boyali  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Shin Kato  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Takao Otsuka  
4th Author's Affiliation Keio University (Keio Univ)
5th Author's Name Kazuhisa Mizushima  
5th Author's Affiliation Keio University (Keio Univ)
6th Author's Name Manabu Omae  
6th Author's Affiliation Keio University (Keio Univ)
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Speaker Author-1 
Date Time 2018-02-15 11:30:00 
Presentation Time 15 minutes 
Registration for ITS 
Paper # ITS2017-66, IE2017-98 
Volume (vol) vol.117 
Number (no) no.431(ITS), no.432(IE) 
Page pp.29-33 
#Pages 5 
Date of Issue 2018-02-08 (ITS, IE) 

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