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Internet of Things (IoT) Information Quality Framework for Transportation System

Student: Rawhi Al Rae

Degree (Masters, PhD): PhD (Engineering Management)

Target Customer : Ministry of Transportation

Completion Year: Fall 2017/2018-present


A brief description of the thesis (abstract):
Internet of Things (IoT) grows in the next few years, and it is beneficial for several environments within the three entities of consumers, governments, and ecosystems. Major technological, economic and environmental changes have generated interest in smart cities. European Union (EU) has devoted constant efforts to devising a strategy for achieving 'smart' urban growth for its metropolitan city-regions. United Arab Emirates (UAE) has a long history of pioneering technology transformation and it has an approach of building smart cities that paired with an in-depth analysis of global best practices. Therefore, UAE conducted an audit of all city services and infrastructure to understand readiness and opportunities for smart city innovations.

Designing and building an effective transport network is one of the biggest challenges in structuring smart cities. As the urban population grows, so the city's public and private transport systems become strained, and even small issues and incidents can adversely affect a whole network that is already operating close to its limits.

The connected information between devices is the real asset of using IoT solutions. Therefore IoT systems has to assure the quality of the Information to guarantee confidence that connected information meets some context specific quality requirements. However, the higher the quality, the greater will be the confidence in meeting beneficial information. "Quality" is often perceived as subjective and the quality of information can then vary among users and among uses of the information. Nevertheless, a high degree of quality increases its objectivity. There are some aspects and elements of the information determining the information quality, these dimensions may form a framework, and they can be divided into four categories: Intrinsic, Contextual, Representational and Accessibility.

This research will try to structure a quality framework for IoT information to indicate its value and to enhance the benefit out of the IoT Systems in the area of transportation. First the research will study the quality dimensions related to information collected from transportation networks using the IoT solutions.  Therefore, quality frameworks and international standards will be reviewed to define how applied in the context of IoT, then the challenges will be addressed to come up with framework that satisfy these standards and policies. Then the research will link the framework that guarantees confidence about IoT information meets some context specific quality requirements to serve one or more of the aspects related to transportation.