AIMC Topic: Vehicle Emissions

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Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Journal of environmental sciences (China) Jun 1, 2025
Traffic emissions have become the major air pollution source in urban areas. Therefore, understanding the highly non-stational and complex impact of traffic factors on air quality is very important for building air quality prediction models. Using re...
Deep Learning Cities Environmental Monitoring Taiwan Air Pollutants Bayes Theorem Air Pollution Vehicle Emissions Rain
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Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation.

Scientific reports May 26, 2025
Traffic congestion forecasting is one of the major elements of the Intelligent Transportation Systems (ITS). Traffic congestion in urban road networks significantly influences sustainability by increasing air pollution levels. Efficient congestion ma...
Humans Algorithms Forecasting Deep Learning Cities Air Pollution Vehicle Emissions Transportation
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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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From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model.

Proceedings of the National Academy of Sciences of the United States of America Jun 29, 2021
The large fluctuations in traffic during the COVID-19 pandemic provide an unparalleled opportunity to assess vehicle emission control efficacy. Here we develop a random-forest regression model, based on the large volume of real-time observational dat...
Humans Machine Learning COVID-19 Algorithms Models, Theoretical Air Pollutants Air Pollution Particulate Matter Vehicle Emissions Electricity Transportation
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[Toxicity of vehicle exhaust on BEAS-2B cells in vitro by air-liquid interface].

Wei sheng yan jiu = Journal of hygiene research Sep 1, 2017
OBJECTIVE: To evaluate the toxic effect of vehicle exhaust( VE) on lung epithelial cells by air-liquid interface( ALI) method in vitro, and analyze the different toxicity of VE after being treated with 0. 2 μm filter.
Humans Reactive Oxygen Species Epithelial Cells Particle Size Air Pollutants Particulate Matter Vehicle Emissions
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