Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods

P Fafoutellis, EG Mantouka, EI Vlahogianni - Sustainability, 2020 - mdpi.com
Eco-driving is a multidimensional concept that includes driving behavior, route selection and
all other choices or behaviors related to the vehicles' fuel consumption (eg, the use of quality …

A review of the data-driven prediction method of vehicle fuel consumption

D Zhao, H Li, J Hou, P Gong, Y Zhong, W He, Z Fu - Energies, 2023 - mdpi.com
Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

Predicting vehicle fuel consumption based on multi-view deep neural network

Y Li, IY Zeng, Z Niu, J Shi, Z Wang, Z Guan - Neurocomputing, 2022 - Elsevier
The problem of global warming is getting more serious, and vehicle emission is the main
cause. In recent years, the number of locomotives in China has been increasing at a rate of …

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 …

A comparative study on fuel consumption prediction methods of heavy-duty diesel trucks considering 21 influencing factors

J Gong, J Shang, L Li, C Zhang, J He, J Ma - Energies, 2021 - mdpi.com
With increasingly prominent environmental problems, controlling automobile exhaust has
become essential to the environment. The fuel consumption of transportation is the critical …

Estimating energy consumption of battery electric vehicles using vehicle sensor data and machine learning approaches

W Achariyaviriya, W Wongsapai, K Janpoom… - Energies, 2023 - mdpi.com
Transport electrification, which entails replacing fossil fuel-powered engines with electric
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …

Neural network-based prediction of vehicle fuel consumption based on driving cycle data

J Topić, B Škugor, J Deur - Sustainability, 2022 - mdpi.com
This paper deals with fuel consumption prediction based on vehicle velocity, acceleration,
and road slope time series inputs. Several data-driven models are considered for this …

A review of applications of artificial intelligence in heavy duty trucks

S Katreddi, S Kasani, A Thiruvengadam - Energies, 2022 - mdpi.com
Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …

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 …

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 …