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Paper Abstract and Keywords
Presentation 2023-09-12 14:35
Mixed Traffic Simulation of Personal Mobility Vehicles and Pedestrians Using Social Force Model
Naoki Akiyama, Hideki Fujii, Shinobu Yoshimura (The Univ. of Tokyo) AI2023-2
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, personal mobility vehicles, such as Segway and electric scooter, have attracted attention as a new means of transportation. Interactions between riders and pedestrians should be understood to evaluate pedestrian comfort and safety. Previous studies modeled pedestrian, Segway and electric scooter movements using the Social Force Model. In this study, we improved the model for simulating pedestrian and electric scooter. Furthermore, we conducted mixed traffic simulations of pedestrians and Segway and performed impact evaluation.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic Simulation / Multi-Agent / Social Force Model / Personal Mobility Vehicle / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 190, AI2023-2, pp. 7-10, Sept. 2023.
Paper # AI2023-2 
Date of Issue 2023-09-05 (AI) 
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 AI2023-2

Conference Information
Committee AI  
Conference Date 2023-09-12 - 2023-09-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2023-09-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mixed Traffic Simulation of Personal Mobility Vehicles and Pedestrians Using Social Force Model 
Sub Title (in English)  
Keyword(1) Traffic Simulation  
Keyword(2) Multi-Agent  
Keyword(3) Social Force Model  
Keyword(4) Personal Mobility Vehicle  
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1st Author's Name Naoki Akiyama  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Hideki Fujii  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Shinobu Yoshimura  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2023-09-12 14:35:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2023-2 
Volume (vol) vol.123 
Number (no) no.190 
Page pp.7-10 
#Pages 4 
Date of Issue 2023-09-05 (AI) 

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