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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.

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Harnessing IoT and Machine Learning for Sustainable, Smart Urban Environments

  • 章节

  • 发表日期：

    2025年

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  • Muhammad Mansur Usman,
  • Md Forkan Hossain Fahim,
  • Md Al Mahedi Hassan,
  • Tanvir Habib Sardar,
  • Zameer Ahmed Adhoni,
  • Mahendra Kumar Gourisaria

摘要

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.