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 …

This paper presents a novel approach to predict carbon dioxide (CO 2), nitrogen oxides
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …

During the cold start and warm-up phase, modern vehicles emit considerable amounts of
pollutants due to the incomplete combustion and deteriorated performance of aftertreatment …

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 …

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 …

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 …

Euro 6 standards impose stringent nitrogen oxide (NOx) emission limits on diesel cars. NOx
emissions are significantly different between Euro 6 diesel cars and the previous standards …

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 …

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 …

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