High accuracy hybrid vehicle fuel consumption (FC) and emissions models used in practice
today are the product of years of research, are physics based, and bear a large …

With the advent of hybrid electric vehicles, computer-based vehicle simulation becomes
more useful to the engineer and designer trying to optimize the complex combination of …

This paper presents a road vehicle emission model that integrates an artificial neural
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …

Today's computer-based vehicle operation simulators use engine speed, engine torque, and
lookup tables to predict emissions during a driving simulation [1]. This approach is used …

This study is laser focused on the simulation of fuel consumption and fuel economy label
parameters of plug-in hybrid electric vehicles. While fuel economy is a key factor in the …

Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of
America (USA). The fuel economy of heavy-duty vehicles (HDV) is affected by several real …

The transportation sector contributes significantly to emissions and air pollution globally.
Emission models of modern vehicles are important tools to estimate the impact of …

An artificial neural network (ANN) was trained on chassis dynamometer data and used to
predict the oxides of nitrogen (NO x), carbon dioxide (CO2), hydrocarbons (HC), and carbon …

The use of Artificial Neural Networks (ANNs) as a predictive tool has been shown to have a
broad range of applications. Earlier work by the authors using ANN models to predict carbon …

Estimating fuel consumption by hybrid diesel buses is challenging due to its diversified
operations and driving cycles. In this study, long-term transit bus monitoring data were …