Modeling of CO<sub>2</sub> Emission for Light-Duty Vehicles: Insights from Machine Learning in a Logistics and Transportation Framework
The transportation and logistics sectors are major contributors to Greenhouse Gase (GHG) emissions. Carbon dioxide (CO2) from Light-Duty Vehicles (LDVs) is posing serious risks to air quality and public health. Understanding ... | Find, read and cite all the research you need on Tech Science Press
Authors
- Faisal S. Alsubaei (ORCID: https://orcid.org/0000-0001-7332-3773)
- Sahbi Boubaker (ORCID: https://orcid.org/0000-0003-4504-6929)
- Sameer Al‐Dahidi (ORCID: https://orcid.org/0000-0002-7745-7784)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.063957
- Citations
- 1
- Primary Topic
- Vehicle emissions and performance
- Type
- article
- Field-Weighted Citation Impact
- 0.68