Abstract
Air pollution has become a significant health, environmental, and economic problem worldwide. The conventional approach of deploying fixed high-end air quality monitoring stations provides accurate measurements but can be expensive to deploy and maintain. As a result, the stations are typically deployed in a few strategic locations with various spatial interpolation or prediction models to estimate the air quality values from unsampled points. Recently, drive-by air quality sensing has emerged as a popular approach due to its dynamic nature, high spatial coverage, and low operational costs while providing high-resolution data. At the same time, drive-by sensing (DS) has introduced a range of novel research challenges in terms of spatial and temporal coverage, mobile sensor (MS) calibration, and deployment strategies. This article provides a systematic review and analysis of the recent work in this area, focusing on vehicular platforms, deployment strategies, primary challenges, and promising research directions.
Original language | English |
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Pages (from-to) | 23692-23703 |
Number of pages | 12 |
Journal | IEEE Sensors Journal |
Volume | 23 |
Issue number | 19 |
DOIs | |
Publication status | Published - 21 Aug 2023 |