[HTML][HTML] Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods

X Li, A Ren, Q Li - Sustainability, 2022 - mdpi.com
While the transportation sector is one of largest economic growth drivers for many countries,
the adverse impacts of transportation on air quality are also well-noted, especially in …

[HTML][HTML] Vehicular CO emission prediction using support vector regression model and GIS

OS Azeez, B Pradhan, HZM Shafri - Sustainability, 2018 - mdpi.com
Transportation infrastructures play a significant role in the economy as they provide
accessibility services to people. Infrastructures such as highways, road networks, and toll …

Challenges in road transport emissions modelling at the national, regional, and local levels

MS Alam, A McNabola - Transportation Research Part D: Transport and …, 2023 - Elsevier
Estimation of road transport emissions covering both greenhouse gases and air pollutants
(eg, NO x) have been developed at the national, regional, and local levels. Emission …

Prediction of On-Road CO2 Emission in Urban Area Using State-of-The-Art Ensemble Machine Learning Model

N Subramaniam, N Yusof - … and Utilities Optimization and Management for …, 2024 - Springer
Transportation emissions, including carbon dioxide (CO2), nitrogen oxides (NOx), carbon
monoxide (CO), and particulate matter (PM), are a significant contributor to air pollution and …

Development of a new high-resolution traffic emissions and fuel consumption model

R Smit, J McBroom - Road & Transport Research: A Journal of …, 2009 - search.informit.org
This paper discusses the ongoing development of a new high-resolution traffic emissions
and fuel consumption model for Australia and New Zealand, as part of a modelling …

Fast and optimized methodology to generate road traffic emission inventories and their uncertainties

BQ Ho, A Clappier, N Blond - CLEAN–Soil, Air, Water, 2014 - Wiley Online Library
Road traffic emissions are one of the main sources of air pollution in urban areas and also
main sources of uncertainties in air quality numerical models. Until now, the available …

[PDF][PDF] Modeling Australian road transport emissions till 2025

Z Wadud, L Aye, T Beer, HC Watson - J. Civ. Eng, 2006 - academia.edu
The contribution of the road transport sector to local air pollutants is significant in urban
areas. Also, road transport has been a major source of greenhouse gases in OECD …

[HTML][HTML] Real-driving CO2, NOx and fuel consumption estimation using machine learning approaches

GMH Shahariar, TA Bodisco, N Surawski, MMR Komol… - Next Energy, 2023 - Elsevier
Real driving emissions (RDE) testing are gaining attention for monitoring and regulatory
purposes because of providing more realistic emission and fuel consumption measurements …

Models for predicting vehicle emissions: A comprehensive review

H Zhong, K Chen, C Liu, M Zhu, R Ke - Science of the Total Environment, 2024 - Elsevier
Air pollution is a primary concern, causing around 7 million premature deaths annually, with
traffic-related sources contributing 23%–45% of emissions. While several studies have …

[HTML][HTML] Vehicular Fuel Consumption and CO2 Emission Estimation Model Integrating Novel Driving Behavior Data Using Machine Learning

Z Wang, M Mae, S Nishimura, R Matsuhashi - Energies, 2024 - mdpi.com
Fossil fuel vehicles significantly contribute to CO 2 emissions due to their high consumption
of fossil fuels. Accurate estimation of vehicular fuel consumption and the associated CO 2 …