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Transit Pollution Exposure Monitoring using Low-Cost Wearable Sensors

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TLDR
In this paper, the feasibility of using wearable low-cost pollution sensors for capturing the total exposure of commuters is analyzed by using extensive experiments carried out in the Helsinki metropolitan region, and they demonstrate that wearable sensors can capture subtle variations caused by differing routes, passenger density, location within a carriage, and other factors.
Abstract
Transit activities are a significant contributor to a person’s daily exposure to pollutants. Currently obtaining accurate information about the personal exposure of a commuter is challenging as existing solutions either have a coarse monitoring resolution that omits subtle variations in pollutant concentrations or are laborious and costly to use. We contribute by systematically analysing the feasibility of using wearable low-cost pollution sensors for capturing the total exposure of commuters. Through extensive experiments carried out in the Helsinki metropolitan region, we demonstrate that low-cost sensors can capture the overall exposure with sufficient accuracy, while at the same time providing insights into variations within transport modalities. We also demonstrate that wearable sensors can capture subtle variations caused by differing routes, passenger density, location within a carriage, and other factors. For example, we demonstrate that location within the vehicle carriage can result in up to 25 % increase in daily pollution exposure – a significant difference that existing solutions are unable to capture. Finally, we highlight the practical benefits of low-cost sensors as a pollution monitoring solution by introducing applications that are enabled by low-cost wearable sensors.

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Citations
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Air pollution exposure monitoring using portable low-cost air quality sensors

- 01 Mar 2022 - 
TL;DR: Wang et al. as discussed by the authors presented a low-cost portable sensor and carried out a measurement campaign using the sensors to demonstrate the validity and benefits of citizen-based pollution measurements, which successfully classified the data into indoor and outdoor, and validated the consistency and accuracy of the outdoor-classified data to the measurements of a high-end reference monitoring station.

The AirSpeck Family of Static and Mobile Wireless Air Quality Monitors

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Intelligent Air Pollution Sensors Calibration for Extreme Events and Drifts Monitoring

TL;DR: In this article , an intelligent sensors calibration method that facilitates correcting air quality low-cost sensors (LCSs) measurements accurately and detecting the calibrators' drift is proposed, which uses Bayesian framework to establish white-box and black-box calibrators.
References
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Proceedings ArticleDOI

Accelerometer-based transportation mode detection on smartphones

TL;DR: The primary contributions of this work are an improved algorithm for estimating the gravity component of accelerometer measurements, a novel set of accelerometers that are able to capture key characteristics of vehicular movement patterns, and a hierarchical decomposition of the detection task.
Journal ArticleDOI

Fine particle (PM2.5) personal exposure levels in transport microenvironments, London, UK.

TL;DR: In this article, the authors used a high flow gravimetric personal sampling system to assess personal exposure to PM2.5 in transport microenvironments in central London, UK, where exposure levels were assessed along three fixed routes at peak and off-peak times of the day.
Proceedings ArticleDOI

Real-time air quality monitoring through mobile sensing in metropolitan areas

TL;DR: A vehicular-based mobile approach for measuring fine-grained air quality in real-time and two cost effective data farming models -- one that can be deployed on public transportation and the second a personal sensing device are proposed.
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