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Title	A Passive Wi-Fi Based Monitoring System For Urban Flows Detection
ID_Doc	3628
Authors	Bertolusso M.; Pettorru G.; Spanu M.; Fadda M.; Sole M.; Anedda M.; Giusto D.D.
Year	2022
Published	Proceedings of the 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2022
DOI	http://dx.doi.org/10.1109/IAICT55358.2022.9887478
Abstract	This paper presents an innovative vehicle monitoring system based on Wi-Fi sniffing devices and real-time data processing using machine learning techniques. Our solution involves the construction of a neural network-based multiclass classifier that can classify the incoming Wi-Fi signal from many sources based on the received signal strength. The solution was carried out by training the neural network to predict different output classes corresponding to different vehicular (0-30Km/h,30-60Km/h, 60-90Km/h, 90-120Km/h) and several pedestrian speed ranges among 0-15Km/h. © 2022 IEEE.
Author Keywords	Internet of Services; Localization and Location-based Services; Machine Learning; Smart City; Smart Logistics; Social IoT

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