Developing Smart City Model For Abu Dhabi Based On Best Practices Content Analysis

Abstract

The research paper comprehensively explores the potential for the transformative technology implementation of Digital Twin Technology in advancing the progressive development of smart cities in Abu Dhabi, focusing on Singapore’s case study. Digital Twin technology is characterized by real-time data integration and 3-D modeling, which offers innovative solutions across multiple domains in smart city resource use, including transportation, resource management, healthcare, and urban planning. The study shows that in Singapore’s case, real-time transportation tracking through this technology system is set to optimize the movements of shared cars, trains, and commuters, which has a major outcome in reduced carbon emissions and improved traffic management. According to the analysis in this research, the benefit of resource monitoring by Digital Twin enhances efficient utilization, which is crucial for resources such as solar, water, energy, and waste management. The benefiting sectors from the integration of this technology include manufacturing and construction. By utilizing the case study research methodology, this research explores the VIZZIO Technologies used in Singapore as a pioneering effort for creating the 3D model for the entire nation utilization of Digital Twin, which offers a scalable and robust replica to be used in the identified sectors of construction, healthcare, and manufacturing. The ambitious project for Singapore is anchored on using real-time data collected from sensory tools, drones, advanced analytics, machine learning, and artificial intelligence. The research paper further explores how Digital Twin Technology can be a vital tool in various city elements such as buildings, bridges, roads, and underground utilities by examining it used from case studies of other smart cities such as Dubai and Helsinki. In the case of buildings, the research paper examines the use of Building Information Models (BIM), sensor data, and cloud computing, which is crucial for equipment maintenance and energy optimization. Other smart city utilities, such as bridges and roads, benefit from machine learning and 3D modelling, which are crucial for efficient resource maintenance and management. Furthermore, in the case of underground utilities in smart cities, using accurate geospatial data and the Digital Twins Model has facilitated the assessment of potential leaks and weather-related impacts. Overall, the research paper concludes by exploring an action plan for Abu Dhabi to implement Singapore’s pioneering efforts, which are the blueprint for smart city development and offers crucial insights into the transformative potential of this technology.

Date of Award	21 Dec 2023
Original language	American English
Supervisor	Tadahiro Kishida (Supervisor)