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 …
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 …
contributes to atmospheric changes and climate disturbances. Consequently, people are …
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 …
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
Electric vehicles driving range and energy consumption investigation: A comparative study of machine learning techniques
A Amirkhani, A Haghanifar… - 2019 5th Iranian …, 2019 - ieeexplore.ieee.org
Electric vehicles are the next generation of cars which are pollutant-free, resulting in the
elimination of many environmental and healthcare problems caused by fossil-fueled …
elimination of many environmental and healthcare problems caused by fossil-fueled …
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 …
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 …
As, consequences, capital cities have become the center of many activities. A large amount …
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 …
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 …
(EVs) are gaining significant market penetration, especially in densely populated urban …