Intelligent decision support systems: transforming smart cities management

Ahmed, Zeinab E. and Hassan Abdalla Hashim, Aisha and Mokhtar, Rania A. and Saeed, Mamoon M. (2024) Intelligent decision support systems: transforming smart cities management. In: 2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI), 25 - 26 November 2024, Sanaa, Yemen.

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Abstract

Since urban cities are expanding due to technology, economy, and influx of more people the need for better management systems is paramount. This paper aims to examine the use of Intelligent Decision Support Systems (IDSS) in enhancing the urban infrastructure, safety and resources in smart cities. Hereby, we present a complex framework that involves Internet of Things (IoT) devices, Neural Networks, Artificial Intelligence (AI) to make decisions in traffic controlling, environmental issues and safety. When used with machines learning (ML) algorithms and predictive analytics, the framework increases the efficiency of urban management operations. A comparison of the energy used by promised by these algorithms including LSTM, SVM, KNN, and the OPTIMUS, a system is developed that enables smart cities to significantly save energy hence highlighting its efficiency. Furthermore, a performance comparison of Random Forest, LSTM, SVM, and KNN for traffic management shows KNN achieving the highest accuracy and precision. The paper discusses data collection, processing, and integration methodologies, and presents case studies demonstrating cost reductions and sustainability improvements. The present paper provides evidence to support the assumption that the development of IDSS can greatly enhance the progress of smart cities by underpinning the process by data, feedback and other forms of information.

Item Type:	Proceeding Paper (Plenary Papers)
Additional Information:	2523/119444
Uncontrolled Keywords:	Intelligent Systems, Decision-Making, Management, Smart Cities, Transformati
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	14 Feb 2025 13:50
Last Modified:	14 Feb 2025 13:50
URI:	http://irep.iium.edu.my/id/eprint/119444

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