Scalable Software Framework for Real Time Data Processing in the Railway Environment

To this day, railway actors obtain information by actively hunting for relevant data in various places. Despite the availability of a variety of travel-related data sources, accurate delivery of relevant, timely information to these railway actors is still inadequate. In this chapter, we present a solution in the form of a scalable software framework that can interface with almost any type of (open) data. The framework aggregates a variety of data sources to create tailor-made knowledge, personalised to the dynamic profiles of railway users. Core functionality, including predefined non-functional support, such as load balancing strategies, is implemented in the generic base layer, on top of which a use case specific layer–that can cope with the specifics of the railway environment–is built. Data entering the framework is intelligently processed and the results are made available to railway vehicles and personal mobile devices …