  Climate change compels a reduction of greenhouse gas emissions, yet vehicular
traffic still contributes significantly to the emission of air pollutants.
Hence, in this paper we focus on the optimization of traffic flow while
simultaneously minimizing air pollution using speed limits as controllable
parameters. We introduce a framework of traffic emission models to simulate the
traffic dynamic as well as the production and spread of air pollutants. We
formulate a multi-objective optimization problem for the optimization of
multiple aspects of vehicular traffic. The results show that multi-objective
optimization can be a valuable tool in traffic emission modeling as it allows
to find optimal compromises between ecological and economic objectives.
