Data collection for digitalization of the Stockholm Metro : A study of data sources needed to digitalize the Stockholm Metro

Sammanfattning: Many organizations are looking to implement data-driven technologies such as big data analytics, artificial intelligence and machine learning in their operations due to their rapid development and increased usefulness in recent years. With technology changing fast, it is difficult for managers to determine which sources of data are relevant in the context of these technologies. This paper aims to explore opportunities to implement data-driven technologies in the Stockholm metro. The technologies are assessed based on their usefulness and feasibility. The assessment is also done in regards to the current state of the organization in charge of the Stockholm metro, Trafikförvaltningen, and its internal capabilities. The study has been conducted through interviews aimed at understanding Trafikförvaltningen as an organization, as well as literary reviews of state-of-the-art technologies aimed at understanding what is technically possible. By aligning the state of the organization with current technologies, it was concluded that big data for preventive maintenance and smart grids for minimizing energy consumption were the most relevant data-driven technologies to implement.