Features Importance Analysis of Diesel Vehicles' NOx and CO2 Emission Predictions in Real Road Driving Based on Gradient Boosting Regression Model

HT Wen, JH Lu, DS Jhang - International Journal of Environmental …, 2021 - mdpi.com
In order to have an accurate and fast prediction of the artificial intelligence (AI) model, the
choice of input features is at least as important as the choice of model. The effect of input …

Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques

R Mumtaz, A Amin, MA Khan, MDA Asif, Z Anwar… - Energies, 2023 - mdpi.com
Transitioning to green energy transport systems, notably electric vehicles, is crucial to both
combat climate change and enhance urban air quality in developing nations. Urban air …

Prediction of CO2 emission in transportation sector by computational intelligence techniques

OF Cansiz, K Unsalan, F Unes - International Journal of …, 2022 - inderscienceonline.com
Carbon footprint is considered the main cause of global warming. There are various studies
on environmental sustainability carried out global scale. In this study, prediction models …

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 …

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 …

Prediction of CO2 emissions using deep learning hybrid approach: A Case Study in Indian Context

L Amarpuri, N Yadav, G Kumar… - 2019 twelfth …, 2019 - ieeexplore.ieee.org
Carbon Dioxide (CO 2), which accounts for 1% of the atmospheric gases but responsible for
about 81% of the total emissions, is a major component of Green House Gas (GHG) …

Emission modeling for new-energy buses in real-world driving with a deep learning-based approach

Y Pan, W Zhang, S Niu - Atmospheric Pollution Research, 2021 - Elsevier
Nowadays, new energy bus is gradually replacing those with diesel engines with its better
environmental protection characteristics. As one of the main types of new energy buses …

[PDF][PDF] Machine learning model development for predicting road transport GHG emissions in Canada

MJUR Khan, A Awasthi - WSB Journal of Business and Finance, 2019 - sciendo.com
Prediction of greenhouse gas (GHG) emissions is important to minimise their negative
impact on climate change and global warming. In this article, we propose new models based …

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 …

Vehicle emission forecasting based on wavelet transform and long short-term memory network

Q Zhang, F Li, F Long, Q Ling - IEEE Access, 2018 - ieeexplore.ieee.org
This paper proposes a time series model based on wavelet transform and long short-term
memory (LSTM) network to forecast vehicle emission. It implements the semi-supervised …