In the paper, the carbon monoxide concentration forecasting method near the road with high traffic was presented on the bases of Artificial Neural Networks depending on the atmospheric conditions and the traffic. In this method the neural networks RBF (Radial Basis Functions) was used. The results were compared with the one obtained by system of Navier-Stokes and turbulent dispersion equations solution.