Effective Modeling of CO2 Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection
HTT Vu, J Ko - Energies, 2024 - mdpi.com
Predictive modeling is important for assessing and reducing energy consumption and CO2
emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been …
emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been …
Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles
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 …
critical in determining the effects of materials and stringent emission control strategies. In this …
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 …
Predictive Modeling of Vehicle CO2 Emissions Using Machine Learning Techniques: A Comprehensive Analysis of Automotive Attributes
BS Satpute, R Bharati… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Concerns about protecting the environment and reducing the negative effects of greenhouse
gas emissions, particularly in the automotive industry, have raised interest in finding creative …
gas emissions, particularly in the automotive industry, have raised interest in finding creative …
Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms
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 …
materials and stringent emission control techniques on climate change, particularly in the …
Advanced Predictive Modeling of Pollutant Gas Emissions in the Automotive Industry based on Machine Learning
A Safari, HK Gharehbagh… - … on Technology and …, 2024 - ieeexplore.ieee.org
Predicting CO 2 emissions in the automotive industry is vital for driving innovation in fuel
efficiency, shaping policies, and fostering a greener, sustainable future. An advanced …
efficiency, shaping policies, and fostering a greener, sustainable future. An advanced …
Integrated MOVES model and machine learning method for prediction of CO2 and NO from light-duty gasoline vehicle
With rapid urbanization and industrialization, the number of light-duty gasoline vehicles
(LDGVs) in China has continued to grow rapidly, leading to a significant increase in traffic …
(LDGVs) in China has continued to grow rapidly, leading to a significant increase in traffic …
Development of a Template Model and Simulation Approach for Quantifying the Effect of WLTP Introduction on Light Duty Vehicle CO2 Emissions and Fuel …
D Tsokolis, S Tsiakmakis, G Triantafyllopoulos… - 2015 - sae.org
The paper describes the development of a modelling approach to simulate the effect of the
new Worldwide harmonized Light duty Test Procedure (WLTP) on the certified CO2 …
new Worldwide harmonized Light duty Test Procedure (WLTP) on the certified CO2 …
Vehicular Fuel Consumption and CO2 Emission Estimation Model Integrating Novel Driving Behavior Data Using Machine Learning
Z Wang, M Mae, S Nishimura, R Matsuhashi - Energies, 2024 - mdpi.com
Fossil fuel vehicles significantly contribute to CO 2 emissions due to their high consumption
of fossil fuels. Accurate estimation of vehicular fuel consumption and the associated CO 2 …
of fossil fuels. Accurate estimation of vehicular fuel consumption and the associated CO 2 …
Evaluation of Different Machine Learning Tools in End-to-End Prediction of Vehicle Fuel Consumption in California
Accurate measurement of fuel consumption and related CO2 emissions are of great
importance for stakeholders of the transportation systems. In this study, intelligent machine …
importance for stakeholders of the transportation systems. In this study, intelligent machine …