Abstract
Computationally efficient dynamic fuel consumption, emissions, and dispersion of emissions models are developed. Fast and practically feasible model-based controller is designed. Using the developed models, the controller steers the traffic flow in such a way that a balanced trade-off between the travel times, fuel consumption, and emissions (to a target zone) is achieved. Simulation-based case studies are used to compare and illustrate the models and control approaches proposed. (Author/publisher)