Developing a unified centralized transport flow control system

Currently, there is an increase in information for data mining transport systems, the main reason number of heterogeneous sources. The relevance topic lies need to collect, process, aggregate, and model large volumes unstructured that cannot be effectively processed by traditional methods. With increasing flow vehicles, its diversity, a optimize processes transportation logistics, system safety road traffic. creation knowledge base will help solve important problems, including: efficiency use, reduction toxic emissions, control unloading traffic flows, accidents, prompt notification services. idea developing unified centralized described. To store process information, it proposed use cloud infrastructure with split computation. For purpose high-quality processing aggregation recommended investigate hidden dependencies data, build analyze various options interpret them relation specific tasks. should connect all participants ground traffic, collect dissimilar materials can obtained from their devices variety sensors, also automate management decision-making systems. Unstructured must correctly interpreted, categorized, consistently labeled identify implicit relationships between data. scientific novelty research consists formation functions being developed, description aspects, requirements, interfaces, models methods aggregating results work used not only analyzing big field transport, but other directions when solving problems information.