Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3564
Title: | Behaviour Analysis of Izmir Residents Using Public Wi-Fi Access Point Usage | Authors: | Dilek I. Oguz K. Demir A. |
Keywords: | access point behaviour analysis smart city wi-fi K-means clustering Wireless local area networks (WLAN) Access points Behavior analysis Crowd analysis K-means Metropolitan municipalities Seasonal trends WI - FI Smart city |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | The wide distribution of access points in Izmir allows the collected information to be employed in smart city algorithms. In this study, we analyze the information that has been made publicly available by Izmir Metropolitan Municipality. We first show that the data is reliable, then analyze it from the perspectives of holidays, seasonal trends, and the COVID-19 pandemic. The study also shows that the information can be used for crowd analysis and forecasting, using K-means and SARIMA algorithms, respectively. © 2022 IEEE. | Description: | 3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- 185735 | URI: | https://doi.org/10.1109/IISEC56263.2022.9998278 https://hdl.handle.net/20.500.14365/3564 |
ISBN: | 9.78167E+12 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
2655.pdf Restricted Access | 788.81 kB | Adobe PDF | View/Open Request a copy |
CORE Recommender
Page view(s)
98
checked on Dec 16, 2024
Download(s)
6
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.