Using Wifi Technologies to Count Passengers in Real-time around Rail Infrastructure

Reichl, Paul J; Oh, Beng; Ravitharan, Ravi; Stafford, Mark

doi:10.1109/icirt.2018.8641595

Cited by 8 publications

(4 citation statements)

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“…The works closest to our research are those that focus on counting people in spaces and that leave aside the analysis of the behavior of the people counted. These solutions, in general, are classified into two groups, those that analyze the Wi-Fi signal [ 29 , 30 , 31 , 32 ] and those that focus on the analysis of the information packets sent by the Wi-Fi devices [ 33 , 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, solutions based on the analysis of probe requests do offer experimentation in uncontrolled and open spaces [ 33 , 34 , 35 ]. These solutions apply to indoor and outdoor spaces and are a general-purpose approach, facilitating their reuse in different contexts.…”

Section: Introductionmentioning

confidence: 99%

“…From the point of view of the accuracy of the results, regardless of the approach used, the necessary infrastructure, or the type of experimentation, the analyzed articles that were used as a basis for our research show very different values, between 80% and 96% [ 29 , 30 , 35 ]. These values can only be considered for direct comparison with special caution, as they come from developments based on very different experimentation approaches.…”

Section: Introductionmentioning

confidence: 99%

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AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces

Vega-Barbas

Álvarez-Campana

Rivera

et al. 2021

Sensors

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Estimating the number of people present in a given venue in real-time is extremely useful from a security, management, and resource optimization perspective. This article presents the architecture of a system based on the use of Wi-Fi sensor devices that allows estimating, almost in real-time, the number of people attending an event that is taking place in a venue. The estimate is based on the analysis of the “probe request” messages periodically transmitted by smartphones to determine the existence of Wi-Fi access points in the vicinity. The method considers the MAC address randomization mechanisms introduced in recent years in smartphones, which prevents the estimation of the number of devices by simply counting different MAC addresses. To solve this difficulty, our Wi-Fi sensors analyze other fields present in the header of the IEEE 802.11 frames, the information elements, to extract a unique fingerprint from each smartphone. The designed system was tested in a set of real scenarios, obtaining an estimate of attendance at different public events with an accuracy close to 95%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces

Vega-Barbas

Álvarez-Campana

Rivera

et al. 2021

Sensors

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“…WiFi remote-positioning has been successfully used for rail transportation like in the case of the Melbourne experiment [86].…”

Section: Positioning and Wifi Remote-positioning Systemsmentioning

confidence: 99%

Crowd data analytics as seen from WiFi

Chilipirea¹

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of this thesis may be reproduced, stored in a retrieval system or transmitted in any form or by any means without permission of the author. Alle rechten voorbehouden. Niets uit deze uitgave mag worden vermenigvuldigd, in enige vorm of op enige wijze, zonder voorafgaande schriftelijke toestemming van de auteur. CROWD DATA ANALYTICS AS SEEN FROM WIFI A CRITICAL REVIEW DISSERTATION to obtain a joint degree, namely the degree of doctor at the Universiteit Twente on the authority of the rector magnificus of the

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A Survey on the Applications of Wi-Fi Sensing

et al. 2021

Advances in Artificial Intelligence and Security

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Using Wifi Technologies to Count Passengers in Real-time around Rail Infrastructure

Cited by 8 publications

References 0 publications

AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces

AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces

Crowd data analytics as seen from WiFi

A Survey on the Applications of Wi-Fi Sensing

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