[HTML][HTML] Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles

NLH Hien, AL Kor - Applied Sciences, 2022 - mdpi.com
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 …

High-fidelity modeling of light-duty vehicle emission and fuel economy using deep neural networks

F Motallebiaraghi, A Rabinowitz, S Jathar, A Fong… - 2021 - sae.org
The transportation sector contributes significantly to emissions and air pollution globally.
Emission models of modern vehicles are important tools to estimate the impact of …

[HTML][HTML] Predicting CO2 Emissions from Traffic Vehicles for Sustainable and Smart Environment Using a Deep Learning Model

AH Al-Nefaie, THH Aldhyani - Sustainability, 2023 - mdpi.com
Burning fossil fuels results in emissions of carbon dioxide (CO2), which significantly
contributes to atmospheric changes and climate disturbances. Consequently, people are …

[HTML][HTML] Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms

Y Natarajan, G Wadhwa, KR Sri Preethaa, A Paul - Electronics, 2023 - mdpi.com
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 …

A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability

I Ullah, K Liu, T Yamamoto… - Energy & …, 2022 - journals.sagepub.com
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …

Modelling of CO2 emission prediction for dynamic vehicle travel behavior using ensemble machine learning technique

N Subramaniam, N Yusof - 2021 IEEE 19th student conference …, 2021 - ieeexplore.ieee.org
Urban growth in most developing countries mainly results from vast economic development.
As, consequences, capital cities have become the center of many activities. A large amount …

[HTML][HTML] Predicting gasoline vehicle fuel consumption in energy and environmental impact based on machine learning and multidimensional big data

Y Yang, N Gong, K Xie, Q Liu - Energies, 2022 - mdpi.com
The underestimation of fuel consumption impacts various aspects. In the vehicle market,
manufacturers often advertise fuel economy for marketing. In fact, the fuel consumption …

Development of an energy consumption prediction model for battery electric vehicles in real-world driving: A combined approach of short-trip segment division and …

Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

[HTML][HTML] Prediction of electric buses energy consumption from trip parameters using deep learning

T Pamuła, D Pamuła - Energies, 2022 - mdpi.com
The energy demand of electric buses (EBs) is a very important parameter that should be
considered by transport companies when introducing electric buses into the urban bus fleet …

Deep learning model based CO2 emissions prediction using vehicle telematics sensors data

M Singh, RK Dubey - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
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 …