Fusion of Environmental Sensing on PM<sub>2.5</sub> and Deep Learning on Vehicle Detecting for Acquiring Roadside PM<sub>2.5</sub> Concentration Increments

Fusion of Environmental Sensing on PM<sub>2.5</sub> and Deep Learning on Vehicle Detecting for Acquiring Roadside PM<sub>2.5</sub> Concentration Increments

Traffic emission is one of the major contributors to urban PM<sub>2.5</sub>, an important environmental health hazard. Estimating roadside PM<sub>2.5</sub> concentration increments (above background levels) due to vehicles would assist in understanding pedestrians’ actual exp...

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Bibliographic Details
Main Authors: Wen-Cheng Vincent Wang, Tai-Hung Lin, Chun-Hu Liu, Chih-Wen Su, Shih-Chun Candice Lung
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
air pollution sensing
low-cost sensor
particle source
transportation emission
vehicle counting
vehicle classification
Online Access:https://www.mdpi.com/1424-8220/20/17/4679

Internet

https://www.mdpi.com/1424-8220/20/17/4679

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