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This paper advocates for the digitization of transportation enterprises, focusing on the railway industry’s need for integrated ticketing and asset management systems. It introduces Data Lake technology as a solution for centralized data management, enabling railway companies to enhance operational efficiency and improve decision-making processes. By integrating diverse data sources within the Data Lake framework, the paper demonstrates the potential for achieving holistic insights and predictive analytics to optimize railway operations. Practical implementation of Data Lake in the MOTIONAL project exemplifies its efficacy in real-world applications, underscoring its pivotal role in modernizing railway transportation and station management systems.
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Bauer et al. (2024) studied this question.
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