AIMC Topic: Vehicle Emissions

Clear Filters Showing 1 to 10 of 35 articles

A method for delineating traffic low emission control zone based on deep learning and multi-objective optimization.

Environmental monitoring and assessment Apr 8, 2025
Current methods for defining traffic low emission control zones (TLEZ) often face limitations that hinder their widespread implementation and effectiveness. This study addresses these challenges by employing a comprehensive approach to analyze PM con...
Air Pollution Cities Particulate Matter Vehicle Emissions Deep Learning Environmental Monitoring Air Pollutants
View on PubMed DOI

Assessing the impact of traffic restriction interventions on school air quality: a citizen science-based modelling study.

Environmental research Apr 7, 2025
Air pollution poses a significant threat to human health, especially for the vulnerable groups such as children. Given that schools are central to their daily lives, ensuring good air quality in these environments is crucial. This study evaluates the...
Air Pollutants Air Pollution Italy Models, Theoretical Environmental Monitoring Citizen Science Humans Rome Schools Vehicle Emissions Cities Traffic-Related Pollution Nitrogen Dioxide
View on PubMed DOI

Explainable AI analysis for smog rating prediction.

Scientific reports Mar 8, 2025
Smog poses a direct threat to human health and the environment. Addressing this issue requires understanding how smog is formed. While major contributors include industries, fossil fuels, crop burning, and ammonia from fertilizers, vehicles play a si...
Humans Machine Learning Environmental Monitoring Vehicle Emissions
View on PubMed DOI

An ML-Enhanced Laser-Based Methane Slip Sensor Using Wavelength Modulation Spectroscopy.

ACS sensors Jan 15, 2025
Natural gas (NG) is a promising alternative to diesel for sustainable transport, potentially reducing GHG and air quality emissions significantly. However, the GHG benefits hinge on managing methane slip, the unburned methane in the exhaust of NG eng...
Machine Learning Methane Spectrum Analysis Vehicle Emissions Natural Gas Lasers
View on PubMed DOI

Machine learning helps reveal key factors affecting tire wear particulate matter emissions.

Environment international Dec 19, 2024
Tire wear particles (TWPs) are generated with every rotation of the tire. However, obtaining TWPs under real driving conditions and revealing key factors affecting TWPs are challenging. In this study, we obtained a TWPs dataset by simulating tire wea...
Vehicle Emissions Air Pollutants Air Pollution Particulate Matter Machine Learning Environmental Monitoring
View on PubMed DOI

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution.

PloS one Dec 10, 2024
Air pollution constitutes a significant worldwide environmental challenge, presenting threats to both our well-being and the purity of our food supply. This study suggests employing Recurrent Neural Network (RNN) models featuring Long Short-Term Memo...
Cities Particulate Matter COVID-19 Humans Air Pollutants Forecasting Environmental Monitoring Vehicle Emissions Neural Networks, Computer Noise Air Pollution Deep Learning
View on PubMed DOI

Sulfuric Acid-Driven Nucleation Enhanced by Amines from Ethanol Gasoline Vehicle Emission: Machine Learning Model and Mechanistic Study.

Environmental science & technology Dec 5, 2024
The sulfuric acid (SA)-amine nucleation mechanism gained increasing attention due to its important role in atmospheric secondary particle formation. However, the intrinsic enhancing potential (IEP) of various amines remains largely unknown, restraini...
Sulfuric Acids Gasoline Machine Learning Vehicle Emissions Amines Ethanol
View on PubMed DOI

Urban road BC emissions of LDGVs: Machine learning models using OBD/PEMS data.

Chemosphere Sep 14, 2024
Urban Black Carbon (BC) emissions from light-duty gasoline vehicles (LDGVs) are challenging to quantify in real-world settings. This study employed a Portable Emission Measurement System (PEMS) to assess BC emissions from five LDGVs on urban roads. W...
China Cities Air Pollutants Vehicle Emissions Environmental Monitoring Gasoline Machine Learning Soot
View on PubMed DOI

Combining Google traffic map with deep learning model to predict street-level traffic-related air pollutants in a complex urban environment.

Environment international Sep 6, 2024
BACKGROUND: Traffic-related air pollution (TRAP) is a major contributor to urban pollution and varies sharply at the street level, posing a challenge for air quality modeling. Traditional land use regression models combined with data from fixed monit...
Air Pollution Deep Learning Hong Kong Cities Air Pollutants Environmental Monitoring Nitrogen Oxides Vehicle Emissions Traffic-Related Pollution
View on PubMed DOI

Characterizing sector-oriented roadside exposure to ultrafine particles (PM) via machine learning models: Implications of covariates influences on sectors variability.

Environmental pollution (Barking, Essex : 1987) Jul 23, 2024
Ultrafine particles (UFPs; PM) possess intensified health risk due to their smaller size and unique spatial variability. One of major emission sources for UFPs is vehicle exhaust, which varies based on the traffic composition in each type of roadside...
Inhalation Exposure Vehicle Emissions Humans Particulate Matter Machine Learning Particle Size Environmental Exposure Air Pollutants Adult Child Air Pollution Environmental Monitoring
View on PubMed DOI
Popular Topics
Recent Journals