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Smart city article details

Title	A Machine Learning-Based Approach For Vehicular Tracking In Low Power Wide Area Networks
ID_Doc	2477
Authors	Bertolusso M.; Spanu M.; Pettorru G.; Anedda M.; Fadda M.; Girau R.; Farina M.; Giusto D.
Year	2022
Published	IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2022-June
DOI	http://dx.doi.org/10.1109/BMSB55706.2022.9828755
Abstract	This paper addresses the issue of monitoring and tracking people and vehicles within smart cities. The actors in this work jointly cooperate in sensing, sensible data processing, anonymized data delivery, and data processing, with the final goal of providing real-time mapping of vehicular and pedestrian concentration conditions. The classification of conditions can bring out critical situations that can be communicated in real-time to citizens. Tests were conducted in the city of Cagliari, Italy. © 2022 IEEE.
Author Keywords	AI for Multimedia Networking Intelligence; Broadcast applications to Smart Cities; Multimedia for connected cars-Multimedia IoT; Multimedia service deployments

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