Dynamic NEURO-FUZZY model of traffic control of the transport stream

The concept and principles of the organization of Neuro-Fuzzy traffic control of transport systems on the basis of intelligence technologies and high-performance means of computing is discussed. The developed information model provides the operative control of the current situations caused by transport streams in difficult dynamic environments. The special attention addresses on the decision of a problem of planning of operations and development of operating decisions at realization of a competition principle in the conditions of uncertainty and incompleteness of the initial information.