Data-driven approach for instantaneous vehicle emission predicting using integrated deep neural network
AM Howlader, D Patel, R Gammariello - Transportation Research Part D …, 2023 - Elsevier
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 …
from light-duty vehicles, can be predicted using the integrated deep neural network method …
High-fidelity modeling of light-duty vehicle emission and fuel economy using deep neural networks
The transportation sector contributes significantly to emissions and air pollution globally.
Emission models of modern vehicles are important tools to estimate the impact of …
Emission models of modern vehicles are important tools to estimate the impact of …
Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model
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 …
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …
Deep learning model based CO2 emissions prediction using vehicle telematics sensors data
Climate change is one of the greatest environmental hazards to mankind. The emission of
greenhouse gases has resulted in a continuous increase in the temperature of the …
greenhouse gases has resulted in a continuous increase in the temperature of the …
Machine learning-based estimation of gaseous and particulate emissions using internally observable vehicle operating parameters
Measuring vehicular emissions is crucial for emission management and air quality control.
However, conventional measurement equipment is costly and requires continuous …
However, conventional measurement equipment is costly and requires continuous …
Estimation of transport CO2 emissions using machine learning algorithm
S Li, Z Tong, M Haroon - Transportation Research Part D: Transport and …, 2024 - Elsevier
This study investigates carbon dioxide emissions from light-duty diesel trucks using a
portable emission measurement system (PEMS) and a global positioning system. Two …
portable emission measurement system (PEMS) and a global positioning system. Two …
Artificial neural network as a predictive tool for emissions from heavy-duty diesel vehicles in Southern California
N Hashemi, NN Clark - International Journal of Engine …, 2007 - journals.sagepub.com
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 …
predict the oxides of nitrogen (NO x), carbon dioxide (CO2), hydrocarbons (HC), and carbon …
Optimizing model parameters of artificial neural networks to predict vehicle emissions
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 …
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …
Application of neural network model to vehicle emissions
D Kim, J Lee - International Journal of Urban Sciences, 2010 - Taylor & Francis
The issue of air quality is now a major concern around the world and the vehicle emissions
model is very important. Most of the current vehicle emission models are multiple regression …
model is very important. Most of the current vehicle emission models are multiple regression …
Emission modeling for new-energy buses in real-world driving with a deep learning-based approach
Y Pan, W Zhang, S Niu - Atmospheric Pollution Research, 2021 - Elsevier
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 …
environmental protection characteristics. As one of the main types of new energy buses …