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2024 | OriginalPaper | Chapter

Empowering Smart Cities: AI-Driven Solutions for Urban Computing

Authors : Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, Minu Balakrishnan

Published in: Artificial Intelligence for Sustainable Development

Publisher: Springer Nature Switzerland

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Abstract

Artificial intelligence gives urban designers and planners the tools they need to develop flexible urban landscapes with the use of real-time data-supported methodologies. Artificial intelligence (AI) real-time data can help to fully integrate sustainable practices into the urban environment. Due to flawed computations and information research tools, this enormous volume of information is exhausted without differentiating possible lessons. Urban planners can use AI to help them choose routes that will improve traffic management, provide equitable public transportation, and have smarter utilities. An innovative and flexible learning framework for smart cities is explored with the aim of adding a new dimension to educational conversations. The multilevel nature of the massive amounts of data generated by smart cities is capitalized on by this design. With the application of AI, city planners may design more responsive and efficient “smart cities” for their constituents. This chapter covers the foundational AI architecture for urban computing applications, as well as current research on urban deep learning and machine learning.

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Title: Empowering Smart Cities: AI-Driven Solutions for Urban Computing
Authors: Anandakumar Haldorai
Babitha Lincy R
Suriya Murugan
Minu Balakrishnan
Publisher: Springer Nature Switzerland
Book: Artificial Intelligence for Sustainable Development
Print ISBN: 978-3-031-53971-8

Electronic ISBN: 978-3-031-53972-5

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-53972-5_10

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