Abstract
Abstract The advantages of using intelligent transport systems (ITS) in urban conditions which enable secure road traffic, reducing the number of road traffic accidents and death rate on roads are considered in this article. The structure and architecture of the urban ITS systems are described: they enable automatizing the processes of gathering context data on road accidents and performing their processing in real time scale with the purpose of dynamic response on changes in transport situation. The description of the theory of cognitive transport systems which is being developed in ITP RAS, which enables increasing the capabilities of traditional ITS with the help of introducing the mechanisms of constant research and self-teaching both into separate transport systems and also into transport infrastructures.
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