INTERPRETATION METHODS IN INTELLIGENT TRANSPORT SYSTEMS

The article explores the methods of interpretation used in intelligent transport systems. the systematics of types of interpretation is given. The current state and development trends of intelligent transport systems are given. the influence of the problem of "big data" on the functioning of intelligent transport systems is noted. Multiple interpretation, information interpretation, system interpretation, hypothetical interpretation, object interpretation, situational interpretation are described. The basic rules of interpretation are described. The difference between situational and object interpretation is shown. An equifinal interpretation is described as a tool for increasing reliability. Direct and reverse interpretation is described as a tool for removing information uncertainty. The systematics of application of interpretation methods for solving problems of intelligent transport systems is given.

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