AIMC Topic: Vehicle Emissions
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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...
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...
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...
[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.
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