Big Data analysis is currently the key instrument for the most complete prediction of economic and social indicators. It includes three key stages. IEC takes part in each of these:
- database creation or access to existing databases;
- database processing;
- analysis of the results achieved and their use in prognostic programmes.
Use of Big Data allows for the most precise and justified forecasting of passenger flows both between cities and in urban transport allows a comprehensive approach to be taken to transport projects and assess in advance their effectivnesss with a high degree of probability. Big Data also help in performing the streaming segmentation according to various impersonal criteria, which is needed for creating a traveller profile. Big Data are also useful in freight traffic forecasting.