Recently the extensive growth of the vehicles number in large cities have been observed, which leads to the road network overload. The purpose of current article is to demonstrate the method of mathematical model creation for environmental monitoring at the crossroads. This mathematical model can be used in intelligent transport systems (ITS). The basic parameters for the mathematical model are selected basing on the knowledge structuring in the field of the road network (RN) environmental monitoring. Knowledge structuring about environmental contamination simplifies and demonstrates the choice of the mathematical model basic parameters for RN environmental monitoring. The mathematical model can be implemented by using the cellular automata (CA) theory. The method of creating the RN ecological condition modeling module, which can be used in ITS, is shown on the particular example. The knowledge structuring method in the field of RN state environmental monitoring and its implementation with help of the CA theory are suggested.
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