Emission dynamic meso-simulation model to evaluate traffic strategies in congested urban networks

Road vehicle emissions have become a main aspect related to the quality of life and sustainability. The aim of this study is to develop a method to estimate pollutant emissions that takes into account the daily variations of traffic flow conditions and parameters relative to the different state of vehicles and that can easily be applied to evaluate the results of both on-line and off-line traffic management strategies in wide congested urban networks. The method has been tested in the real case of the city of Brindisi (Italy), demonstrating its reliability and efficiency.