Monitoring Traffic-Related Air Pollution (TRAP) through Calibrated Low-Cost Sensors
Part Of
Computing in Civil Engineering 2024: Artificial Intelligence, Automation and Robotics, and Human-Centered Innovations - Selected papers from the ASCE International Conference on Computing in Civil Engineering 2024
Start Page
409
End Page
416
ISBN (of the container)
9780784486115
ISBN
9780784486115
Date Issued
2024
Author(s)
Abstract
Exposure to Traffic-Related Air Pollution (TRAP) has adverse health effects on road users. Among TRAP pollutants, PM1 has strong correlations with traffic factors and varied spatiotemporal distributions at the city scale. In this research, Low-Cost Sensors (LCS) are proposed to be the monitoring device because of their cost efficiency, compact sizes, ease of operation, and the ability to provide high-resolution data spatially and temporally. This study aims to examine the applicability of LCS for monitoring TRAP. After model calibration, the LCS would be deployed to capture the spatial and temporal distribution of TRAP at the city scale. Taipei city is chosen as a case study. The proposed methodology can potentially provide insights for environmental management and policy formulation for public health, considering TRAP.
Event(s)
2024 ASCE International Conference on Computing in Civil Engineering, i3CE 2024, 28 July 2024 - 31 July 2024, Pittsburgh
Publisher
American Society of Civil Engineers (ASCE)
Type
conference paper