Abstract

The data transportation brings together developers of solutions to work with digital technologies. The analysis of big data helps in achieving the set goals. The innovation center has the ability to work with data from companies under the transport sector, carry out its own research, test hypotheses and create segments for target communication companies. We collect a wide range of non-personal data about passengers and, based on analysis, can provide important information to citizens in a targeted way. In this paper an innovation model was proposed to analyze the complex big data environment in public sector companies. There are frequent changes in routes, repairs, blocking of traffic due to certain events, activities. By analyzing the data, travelers who frequent these routes can be given personalized information about changes.