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Paper Abstract and Keywords
Presentation 2023-09-12 17:10
Visualization of Parameter Effects in Pedestrian Flow Simulation Considering Multiple Metrics
Chisa Mori (Ochanomizu Univ.), Mei Takeda (Tsukuba Univ.), Masaki Onishi (AIST), Takayuki Itoh (Ochanomizu Univ.) AI2023-9
Abstract (in Japanese) (See Japanese page) 
(in English) Pedestrian flow simulation is an effective approach for predicting human behaviors and movement patterns in practical scenarios such as event management and disaster evacuation planning. However, the interpretation of simulation results requires a proper understanding of the relationship between control parameters and predictions, as the outcomes can vary based on the parameters used in the simulation. In cases where multiple evaluation metrics are used to assess prediction results, there exists a trade-off among these metrics, making it challenging to uniformly interpret the relationship between control parameters and predictions. In this paper, we propose a method that converts multiple evaluation metrics into a single unified metric using linear combinations. This method enables the visualization of the relationship between control parameters and prediction results using Parallel Coordinates Plots. Through experiments involving the adjustment of weights assigned to each evaluation metric, we demonstrate that different trade-offs require varying important control parameters, and these differences can be visualized effectively.
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Reference Info. IEICE Tech. Rep., vol. 123, no. 190, AI2023-9, pp. 45-49, Sept. 2023.
Paper # AI2023-9 
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)
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Conference Information
Committee AI  
Conference Date 2023-09-12 - 2023-09-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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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) Visualization of Parameter Effects in Pedestrian Flow Simulation Considering Multiple Metrics 
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1st Author's Name Chisa Mori  
1st Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
2nd Author's Name Mei Takeda  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
3rd Author's Name Masaki Onishi  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Takayuki Itoh  
4th Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
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Speaker Author-1 
Date Time 2023-09-12 17:10:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2023-9 
Volume (vol) vol.123 
Number (no) no.190 
Page pp.45-49 
#Pages 5 
Date of Issue 2023-09-05 (AI) 

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