Smart City Gnosys

Smart city article details

Title	Harnessing Iot And Machine Learning For Sustainable, Smart Urban Environments
ID_Doc	28762
Authors	Usman M.M.; Fahim M.F.H.; Al Mahedi Hassan M.; Sardar T.H.; Adhoni Z.A.; Gourisaria M.K.
Year	2025
Published	Springer Tracts on Transportation and Traffic, 22
DOI	http://dx.doi.org/10.1007/978-3-031-87627-1_12
Abstract	Smart cities are a concept reshaping how urban environments operate to be more efficient, sustainable, and liveable, especially when machine learning (ML) meets the Internet of Things (IoT). This chapter delves into how these two technologies converging—with urban data being delivered in real-time from IoT and analytics taking place via ML algorithms—can create actionable insights. In this paper, we critically analyse the use cases of most importance, including benefits and challenges, alongside emerging trends from a recent survey that provides an in-depth depiction of what is feasible to create a smart city landscape thanks to IoTs and ML. In this podcast, the speakers will discuss how these disruptive technologies can address challenges related to urbanisation—from energy management, public safety and getting around a congested city to environmental sustainability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Author Keywords	Internet of Things; Machine learning; Smart cities; Traffic management; Urbanization

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