Smart City Gnosys

Smart city article details

Title	From Data To Action: Exploring Ai And Iot-Driven Solutions For Smarter Cities
ID_Doc	27174
Authors	Dias T.; Fonseca T.; Vitorino J.; Martins A.; Malpique S.; Praça I.
Year	2023
Published	Lecture Notes in Networks and Systems, 740 LNNS
DOI	http://dx.doi.org/10.1007/978-3-031-38333-5_5
Abstract	The emergence of smart cities demands harnessing advanced technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) and promises to unlock cities’ potential to become more sustainable, efficient, and ultimately livable for their inhabitants. This work introduces an intelligent city management system that provides a data-driven approach to three use cases: (i) analyze traffic information to reduce the risk of traffic collisions and improve driver and pedestrian safety, (ii) identify when and where energy consumption can be reduced to improve cost savings, and (iii) detect maintenance issues like potholes in the city's roads and sidewalks, as well as the beginning of hazards like floods and fires. A case study in Aveiro City demonstrates the system's effectiveness in generating actionable insights that enhance security, energy efficiency, and sustainability, while highlighting the potential of AI and IoT-driven solutions for smart city development. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	internet of things; machine learning; security; smart city

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