Digital Ecosystem-Based KPI-Driven Railway Communication Network Reporting System

This research is focused on architectural and modeling issues of design and development of digital reporting system aimed at the railway communication network infrastructure. Our approach to these problems is based on digital ecosystem paradigm and open-source Big Data technologies. It also aims at methodology for KPIs data preparation and collection in railway communication networks. A practical result of the research is a proposed software framework for digital reporting system that consists of multiple agents, which are important for efficient KPIs data integration and processing in communication network reporting system. We have created and tested a prototype digital reporting system using KPIs data from the production railway communication network. KPIs data used in test implementation and obtained from the largest Russian Railway company included all incidents, occurred in the railway communication network in a week period. Prototype system implementation successfully processed all KPIs data using proposed data methodology and integrated framework.