Work

Modeling of CO2 Emission for Light-Duty Vehicles: Insights from Machine Learning in a Logistics and Transportation Framework

Year: 2025

Type: article

Abstract: 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

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.063957

Authors: Sahbi Boubaker, Sameer Al-Dahidi, Faisal S. Alsubaei

Language: English

Topic: Vehicle emissions and performance

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4411827968

FWCI: 0.507

Cites: 24

Cited by: 2

Related to: 10