Uncertainty Processing by Tensor Algebra Means in Condition of Movement Along Complex Roads

Abstract

The article is devoted to research related to the processing of uncertainty by means of tensor algebra in the conditions of the road traffic control based on wireless sensor networks determine complex controlling road infrastructure. The organization of traffic on difficult roads is one of the key challenges of the transportation industry. The solution of this problem occurs under conditions of uncertainty, which may appear at different levels of the traffic control process. The article offers a classification of uncertainty in a complex dynamic system. By the example of organizing the interaction of smart controllers in an electronic coupling, the author shows the results of applying the methods of tensor network analysis to obtain the computational base of electronic coupling network interaction of intelligent (smart) vehicle controllers. Examples of processing uncertainty of different types using the apparatus of fuzzy sets and tensor basis are considered. Tensor equations provide efficient processing of big data, obtaining information in-real-time mode, the stability of “Intelligent electronic hitch” system to changes in the topology of the connection of controllers and changes in soft- and hard- components of the connection. The use of tensors in the computational basis of the intelligent electronic hitch makes it possible successful implementation of embedded AI at the level of an intelligent (smart) controller. The results obtained in the article show that the computational basis on the example of the electronic hitch algorithm can be used in smart controller systems of any level of complexity based on wireless sensor networks.