A problem of adaptive urban traffic flows control is considered. The traffic flow control is performed by the coordination of active phases of traffic lights. A control goal is to minimize the difference between the total input flow and total output flow for all subnetworks, while considering changing parameters of the road network. In this paper, a neural network approach for urban traffic road network parameters adjustment is presented.

Keywords: traffic flow control, artificial neural networks