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

This paper details how instantaneous vehicle emissions, namely, CO 2, CO, NO X, and HC
from light-duty vehicles, can be predicted using the integrated deep neural network method …

Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …

Nowadays, new energy bus is gradually replacing those with diesel engines with its better
environmental protection characteristics. As one of the main types of new energy buses …

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 …

Abstract In our previous work [1], an ensemble of Convolutional Neural Network (CNN)
models was used to predict engine-out emissions of Carbon Monoxide (CO), Unburned …

Accurate instantaneous vehicle emissions models are vital for evaluating the impacts of road
transport on air pollution at high temporal and spatial resolution. In this study, we apply …

Accurate estimation of fuel consumption and emissions is crucial for assessing the impact of
materials and stringent emission control techniques on climate change, particularly in the …

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 …

As emissions regulations for transportation become stricter, it is increasingly important to
develop accurate nitrogen oxide (NO x) emissions models for heavy-duty vehicles. However …