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Paper Abstract and Keywords
Presentation 2026-06-17 13:20
[Poster Presentation] Estimating railway passenger numbers using Wi-Fi sensing
Yutaro Asada, Atsuo Ozaki (OIT) SANE2026-20
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, there has been increasing demand for real-time monitoring and provision of congestion information in railway vehicles. This paper proposes a method for estimating congestion levels on a per-car basis by deploying Wi-Fi packet sensors that detect Wi-Fi signals inside railway vehicles. Specifically, to address the overestimation problem caused by variations in Wi-Fi packet transmission characteristics when estimating the number of devices from received packet counts, a correction method is introduced. In addition, terminals belonging to adjacent cars that are mixed into the measurements due to radio wave penetration are identified and separated to estimate the number of devices within the target car. Evaluation results using the ns-3 network simulator and the RapLab radio propagation analysis tool confirmed that estimation errors stabilized under conditions with larger numbers of devices when the correction method was applied. Furthermore, RSSI distributions showed tendencies to separate terminals inside and outside the target car, indicating that a certain level of identification is possible even with unsupervised classification using only signal strength.
Keyword (in Japanese) (See Japanese page) 
(in English) Wi-Fi / People Estimation / Received Signal Strength Indicator / Probe Request / Railway Congestion Estimation / Wi-Fi Packet Sensor / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 71, SANE2026-20, pp. 89-93, June 2026.
Paper # SANE2026-20 
Date of Issue 2026-06-10 (SANE) 
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 SANE2026-20

Conference Information
Committee SANE  
Conference Date 2026-06-17 - 2026-06-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Information Technology R&D Center, MITSUBISHI Electric Corp. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radar, Tracking, EW Technologies and general 
Paper Information
Registration To SANE 
Conference Code 2026-06-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating railway passenger numbers using Wi-Fi sensing 
Sub Title (in English)  
Keyword(1) Wi-Fi  
Keyword(2) People Estimation  
Keyword(3) Received Signal Strength Indicator  
Keyword(4) Probe Request  
Keyword(5) Railway Congestion Estimation  
Keyword(6) Wi-Fi Packet Sensor  
Keyword(7)  
Keyword(8)  
1st Author's Name Yutaro Asada  
1st Author's Affiliation Osaka Institute of Technology (OIT)
2nd Author's Name Atsuo Ozaki  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2026-06-17 13:20:00 
Presentation Time 80 minutes 
Registration for SANE 
Paper # SANE2026-20 
Volume (vol) vol.126 
Number (no) no.71 
Page pp.89-93 
#Pages 5 
Date of Issue 2026-06-10 (SANE) 

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