Abstract

Traffic congestion is an ever-present problem affecting most cities, negatively affecting the economy, the environment, and people’s quality of life. Dubai is one of the rapidly growing cities in terms of urbanization and the usage of technologies, and it is aware of the ability of IoT to design intelligent city traffic control systems to resolve this problem. Consequently, this study sought to assess the implication of IoT in improving traffic management systems within the Emirate of Dubai, gleaning data concerning the factors that have a direct impact on the implementation of the IoT, the challenges, and barriers met during the implementation of the IoT, and the strategies and the best practices associated with the integration of IoT. It also used secondary qualitative collection methods involving synthesizing data from an extensive literature search of academic and industry publications, case studies, and reports. Three main questions guided the research: It is, therefore, against this backdrop that the findings highlighted a range of practitioners’ challenges that span across the technical, organizational, and socio-economic domains, with the challenges specifically being technical challenges such as interoperability, scalability, and data management; organizational challenges like governance and stakeholder collaboration, change management; and socio-economic challenges such as user acceptance, the digital divide, and sociocultural factors. Altogether, the study revealed issues and considerations, including security and privacy, integration problems, regulatory and policy matters, and constraints in cost and resources. The study highlights key approaches and success factors for IoT implementation, including big data and analytics, edge computing, real-time processing, PPP, and new business models. It contributes to understanding IoT adoption for traffic management systems in Dubai, offering valuable insights for policymakers, planners, and related agencies. Recommendations include developing IoT management guidelines, community involvement, capacity building, and incorporating big data and decision-support systems. Future research directions involve pilot studies, exploring advanced technologies and trends, comparative case studies, and examining economic and environmental impacts.

Library of Congress Subject Headings

Traffic engineering--Technological innovations--United Arab Emirates--Dubai; Internet of things--United Arab Emirates--Dubai; Smart cities

Publication Date

2025

Document Type

Thesis

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Sanjay Modak

Advisor/Committee Member

Khalil Al Hussaeni

Campus

RIT Dubai

Plan Codes

PROFST-MS

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