Work

Smart City Feasibility Study using IoT and Machine Learning

Year: 2024

Type: article

Abstract: Complexity and resource constraints accompany urban growth. According to UN figures, cities currently use 75% of the global energy, with 70% of the greenhouse gas emissions being mostly generated from transportation and residence buildings. Furthermore, city residents are susceptible to the consequences of climate change. Therefore, a feasibility study for the possibility of implementing a smart city was conducted in this paper. The results show that the current situation of the cities is/renders them far from being smart, while the environmental aspect needs to be controlled by the use of IoT sensors. The utilized Hyperd algorithm gave highly accurate prediction results.

Source: Engineering Technology & Applied Science Research

DOI: 10.48084/etasr.8714

Authors: Rowedah Hussien Ali, Suha Falih Mahdi Alazawy, Ali Mustafa, Kadhim Raheim Erzaij

Institutions: University of Diyala, University of Baghdad

Language: English

Topic: Smart Cities and Technologies

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Climate action

Open Access status: gold

Estimated APC paid: $431