Abstract The" Annual Report 2021" from the United Nations Environment Programme
(UNEP) highlights that the transportation sector is the fastest-growing greenhouse gas …

The main objective of this chapter is to study the effect of different features of a vehicle on
CO2 emissions and to create a machine learning model that can accurately predict CO2 …

Addressing the issue of carbon emissions in the transportation sector, this research
constructed various predictive models using multiple machine learning algorithms based on …

Road transport is a major contributor to world energy consumption and emissions. The
validity of models developed for environmental assessment of transport projects when used …

In this article, an experimental investigation is done to study the impact of carbon dioxide
(CO2) vehicle emissions on global climatic changes. The dataset for the analysis is taken …

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 …

The amount of carbon dioxide in the atmosphere has risen over recent years, with a growth
of over 40%. This study examines transportation-related carbon dioxide (CO2) emissions in …

This study applies three different artificial intelligence algorithms (Multi-layer Perceptron
(MLP), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)) to …

Burning fossil fuels results in emissions of carbon dioxide (CO2), which significantly
contributes to atmospheric changes and climate disturbances. Consequently, people are …

In the previous decade, the measure of CO2 outflows has seen a critical increment, this is
coming about to be a significant justification for environmental change. A significant …