AI-Powered Smart Cities: Optimizing Urban Infrastructure and Services for Sustainability

EasyChair Preprint 14491

Abstract

The rapid urbanization of the 21st century has presented significant challenges to cities worldwide, including the need for sustainable development, efficient resource management, and improved quality of life for residents. AI-powered smart cities offer a promising solution by leveraging artificial intelligence and machine learning to optimize urban infrastructure and services. This paper presents a comprehensive framework for the implementation of AI in smart cities, focusing on key areas such as energy management, traffic optimization, waste management, and public safety. By integrating big data analytics, IoT, and cloud computing, the proposed framework aims to enhance the sustainability and livability of urban environments. The effectiveness of the AI-powered solutions is evaluated using a synthetic dataset representing a mid-sized city. The results demonstrate significant improvements in energy efficiency, traffic flow, waste collection, and public safety, highlighting the potential of AI to transform urban living.

Keyphrases: Artificial Intelligence, Big Data, IoT, Smart Cities, Sustainability, machine learning, urban infrastructure

@booklet{EasyChair:14491,
  author    = {Ava Nakamura},
  title     = {AI-Powered Smart Cities: Optimizing Urban Infrastructure and Services for Sustainability},
  howpublished = {EasyChair Preprint 14491},
  year      = {EasyChair, 2024}}