Economic and social modelling of urban traffic controlling

Road traffic flows in intersections in inner city environment are modeled in this article. Cost of CO2, CO, CH, NOx, PM and value of travel time have been used in order to estimate the economical and social costs arising at the intersections. The article presents assumptions for constructing the mathematical model. It describes the mathematical model and gives simulation results. Traffic flow parameters, as traffic flow concentration and traffic flow speed are presented as based on real traffic data. Different controlling policies are demonstrated.