… Development of Models This study seeks to develop a high-fidelity model of emissions and
fuel consumption for an LDDV using ANN methods. The effectiveness of these ANN methods …

… have been used on many different vehicles including light duty vehicles, refuse trucks, and
… emissions and fuel impacts, and enabling high fidelity learning control in physical vehicles. …

… market share for light-duty passenger vehicles. However, … limits the complex models and
high-fidelity models that can … engine-out emissions and fuel consumption, while imposing …

… to model fuel consumption/fuel efficiency using statistical and … neural network (ANN), for the
estimation of fuel consumption in … high-fidelity truck model is implemented using a real truck’s …

… of a neural network model that can accurately predict the fuel … high-fidelity truck model is
implemented using a real truck’s … passenger cars, light-duty vehicles, and heavy-duty vehicles, …

… at low speeds, and fuel consumption efficiencies make them … 5] for light-duty commercial
vehicles and passenger cars, the … in terms of obtaining high fidelity engine models can be …

… from a high-speed light duty diesel engine at test conditions both … model in predicting specific
fuel consumption and exhaust … as the input feature, the high fidelity experimental data is first …

… The high fidelity of this model makes it possible to evaluate … and exhaust emissions of
conventional and hybrid light-duty … Linear regression modeling and neural network modeling …

… such as enhanced fuel economy or reduced emissions (Huang et al… We then use this
high-fidelity model to identify a low-order … Emissions modeling of a lightduty diesel engine for …

… without using computationally intensive high-fidelity models. … baseline model and a
feed-forward deep neural network. … -based model is not sufficient to predict soot mass emissions …