International Transactions on Artificial Intelligence (ITALIC)
Vol. 2 No. 2 (2024): International Transactions on Artificial Intelligence

AI-Based Strategies to Improve Resource Efficiency in Urban Infrastructure

Ninda Lutfiani (University of Raharja)
Nuke Puji Lestari Santoso (University of Raharja)
Ridhuan Ahsanitaqwim (University of Raharja)
Untung Rahardja (Universiti Teknologi Malaysia)
Achani Rahmania Az Zahra (Association of Colleges of Informatics and Computer Science)



Article Info

Publish Date
21 Jun 2024

Abstract

Rapid urbanization has significantly increased urban populations, leading to higher consumption of resources such as energy, water, and fuel. Resource efficiency is crucial to managing urban growth in an environmentally friendly and economical manner. This research aims to explore the role of artificial intelligence (AI) in improving resource efficiency in urban infrastructure. By leveraging AI technology, this study seeks to find innovative solutions that can optimize resource use, enhance energy management, and improve monitoring and control of infrastructure systems. The findings indicate that the implementation of AI can increase energy efficiency by 15%, reduce transportation travel times by 15%, and improve water management efficiency by 15%. These results demonstrate that AI can be an effective tool in supporting the sustainability of urban infrastructure, reducing operational costs, and mitigating environmental impacts. This research provides practical guidance for city managers and policymakers in designing and implementing smarter and more efficient technological solutions.

Copyrights © 2024






Journal Info

Abbrev

italic

Publisher

Subject

Computer Science & IT Control & Systems Engineering Library & Information Science

Description

International Transactions on Artificial Intelligence (ITALIC) is an international, open-access journal established to publish groundbreaking research in the field of Artificial Intelligence (AI). ITALIC focuses on both theoretical and experimental AI research and explores its applications across ...