[HTML][HTML] The Development of CO2 Instantaneous Emission Model of Full Hybrid Vehicle with the Use of Machine Learning Techniques

M Mądziel, A Jaworski, H Kuszewski, P Woś, T Campisi… - Energies, 2021 - mdpi.com
Road transport contributes to almost a quarter of carbon dioxide emissions in the EU. To
analyze the exhaust emissions generated by vehicle flows, it is necessary to use specialized …

[HTML][HTML] Purchasing Intentions Analysis of Hybrid Cars Using Random Forest Classifier and Deep Learning

AKS Ong, LNZ Cordova, FAB Longanilla… - World Electric Vehicle …, 2023 - mdpi.com
In developed or first-world countries, hybrid cars are widely utilized and essential in
technological development and reducing carbon emissions. Despite that, developing or third …

[HTML][HTML] 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 …

[HTML][HTML] Machine-learning-based carbon dioxide concentration prediction for hybrid vehicles

D Tena-Gago, G Golcarenarenji, I Martinez-Alpiste… - Sensors, 2023 - mdpi.com
The current understanding of CO2 emission concentrations in hybrid vehicles (HVs) is
limited, due to the complexity of the constant changes in their power-train sources. This …

Fuel consumption prediction of fleet vehicles using machine learning: A comparative study

S Wickramanayake… - 2016 Moratuwa …, 2016 - ieeexplore.ieee.org
Ability to model and predict the fuel consumption is vital in enhancing fuel economy of
vehicles and preventing fraudulent activities in fleet management. Fuel consumption of a …

[HTML][HTML] Use of artificial neural networks to predict fuel consumption on the basis of technical parameters of vehicles

J Ziółkowski, M Oszczypała, J Małachowski… - Energies, 2021 - mdpi.com
This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles
and the way human impacts the environment, with a particular emphasis on the passenger …

[HTML][HTML] Construction of analytical models for driving energy consumption of electric buses through machine learning

KC Lin, CN Lin, JJC Ying - Applied sciences, 2020 - mdpi.com
In recent years, the Taiwan government has been calling for the use of public transportation
and has been popularizing pollution-reducing green vehicles. Passenger transport …

A novel energy consumption prediction model of electric buses using real-time big data from route, environment, and vehicle parameters

YE Ekıcı, O Akdağ, AA Aydin, T Karadağ - IEEE Access, 2023 - ieeexplore.ieee.org
Electric vehicles (EVs) have positive impacts on reducing oil dependence and exhaust
emissions. However, the range problem of EVs is a factor that raises concerns for individual …

Standard environmental evaluation framework reveals environmental benefits of green light optimized speed advisory: A case study on plug-in hybrid electric vehicles

N Wei, Z Jia, X Zhao, L Wu, Y Zhang, J Peng… - Journal of Cleaner …, 2023 - Elsevier
Abstract Green Light Optimized Speed Advisory (GLOSA) is a cutting-edge technology for
intelligent transportation and is being increasingly applied on the ground worldwide …

Development of greenhouse gas emissions model for 2014-2017 heavy-and medium-duty vehicle compliance

B Lee, L Quinones, J Sanchez - 2011 - sae.org
Of all existing modes of transportation, onroad motor vehicles are the largest contributor to
greenhouse gas emissions and fuel usage. The Environmental Protection Agency and the …