AIMC Topic: Traffic-Related Pollution

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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...
Deep Learning Cities Environmental Monitoring Air Pollutants Air Pollution Hong Kong Vehicle Emissions Nitrogen Oxides Traffic-Related Pollution
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Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990-2018).

Environment international Jul 1, 2025
BACKGROUND: Autism spectrum disorder (ASD) prevalence has risen steadily in California (CA) over several decades, with environmental factors like air pollution (AP) increasingly implicated. This study investigates associations between prenatal exposu...
Humans Autism Spectrum Disorder Pregnancy Female Adult Male Cohort Studies Air Pollutants Air Pollution Particulate Matter California Prenatal Exposure Delayed Effects Maternal Exposure Vehicle Emissions Traffic-Related Pollution
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Traffic-related air pollution backcasting using convolutional neural network and long short-term memory approach.

The Science of the total environment May 10, 2025
Air pollution backcasting, especially nitrogen dioxide (NO), is crucial in epidemiological studies, thus enabling the reconstruction of historical exposure levels for assessing long-term health effects. Changes in NO concentrations in urban areas are...
Neural Networks, Computer Convolutional Neural Networks Cities Environmental Monitoring Air Pollutants Air Pollution Vehicle Emissions Nitrogen Oxides Nitrogen Dioxide Traffic-Related Pollution
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