| This thesis describes a new methodology to develop a set of integrated fuel consumption and vehicle emission models that are highly sensitive to traffic flow conditions. These models are capable of predicting the fuel consumption, hydrocarbon, carbon monoxide and nitrous oxide emissions for individual vehicle movements that are determined by the driving cycle characteristics of the selected route.; The set of fuel consumption models developed in this thesis are sensitive to the details of the drive mode of the vehicle, and also incorporate several other factors such as ambient temperature, engine temperature and vehicle type consumption. The emission models are couples with estimates of fuel consumption such that the same traffic flow dynamics are captured in the emission estimates.; Two simple examples illustrate the potential of these models as analysis tools. In the first example, it was found that engine operating mode has a dominant influence on vehicle emissions during the initial portions of trip, especially at cold ambient temperatures. In the second example, ten typical driving scenarios were compared and the results indicated that travel time and the various scenarios were compared and the results indicated that travel time and the various environmental measures are not as strongly correlated as once believed, and identified those scenarios in which traffic and environmental objectives may actually conflict. (Abstract shortened by UMI.)... |
