Data Fabric as an Effective Method of Data Management in Traffic and Road Systems

The article discusses the basic principles of Data Fabric technology using the example of IBM, Microsoft and Cloudera platforms, which opened a new perspective in the field of data management, where it became possible to implement big data in the cloud, which supports the processes of organizing and preparing for use and analysis of huge amounts of information. The presented concept of Data Fabric technology can look like a system for collecting data on transport events and can be created on the principle of a blockchain network using a transport environment modeling tool. The data structures will contain data collected about accidents involving vehicles, reports of vehicle owners, roadside equipment of the transport and road complex systems. Blockchain can be used to create a secure, trusted, and decentralized autonomous Intelligent Transport Systems (ITS) ecosystem that makes better use of the legacy ITS infrastructure and resources, which is especially effective for crowdsourcing technology. While it’s not enough to just collect and store large amounts of data, businesses need to seamlessly and securely access, manage and use this data to drive digital transformation and successfully implement artificial intelligence. The article is aimed at stimulating further developments and providing useful materials for future research in this area.