The use of low-cost sensors for air quality analysis in road intersections

Brzozowski, Krzysztof; Ryguła, Artur; Maczyński, Andrzej

doi:10.1016/j.trd.2019.10.019

Cited by 20 publications

(12 citation statements)

References 29 publications

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“…Because of the large number of measurements, it is therefore reasonable to suggest that this difference is caused by PM 2.5 emissions from traffic. Other studies also suggest that it is possible to measure PM from traffic using low-cost sensors [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors

Wesseling

Hendricx

Ruiter

et al. 2021

IJERPH

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Air pollution, especially fine particulate matter (PM2.5), is a major environmental risk factor for human health in Europe. Monitoring of air quality takes place using expensive reference stations. Low-cost sensors are a promising addition to this official monitoring network as they add spatial and temporal resolution at low cost. Moreover, low-cost sensors might allow for better characterization of personal exposure to PM2.5. In this study, we use 500 dust (PM2.5) sensors mounted on bicycles to estimate typical PM2.5 levels to which cyclists are exposed in the province of Utrecht, the Netherlands, in the year 2020. We use co-located sensors at reference stations to calibrate and validate the mobile sensor data. We estimate that the average exposure to traffic related PM2.5, on top of background concentrations, is approximately 2 μg/m3. Our results suggest that cyclists close to major roads have a small, but consistently higher exposure to PM2.5 compared to routes with less traffic. The results allow for a detailed spatial representation of PM2.5 concentrations and show that choosing a different cycle route might lead to a lower exposure to PM2.5. Finally, we conclude that the use of mobile, low-cost sensors is a promising method to estimate exposure to air pollution.

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Section: Discussionmentioning

confidence: 99%

Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors

Wesseling

Hendricx

Ruiter

et al. 2021

IJERPH

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“…Among GSM, WiFi and LAN, GSM is very popular in the sensor node communication since the other two have very limited access in remote areas. For instance, Brzozowski et al [ 91 ] deployed the PM monitoring sensor nodes at the road intersection and the data is communicated to the server with 3G, GSM. In another study, Hasenfratz et al [ 25 ] used both GSM and WiFi to send the LCS data to a remote server to create high density urban air pollution maps.…”

Section: Hardware Setup/sensor Node Designmentioning

confidence: 99%

“…In static deployments LCS are placed in a fixed place throughout the monitoring period. Industry emission monitoring, urban site monitoring, building monitoring, source apportionment study are examples of stationary deployments [ 21 , 62 , 79 , 80 , 91 , 117 , 119 , 120 , 132 , 143 , 154 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 , 168 ]. Castell et al, monitored air quality at kinder-gardens in Oslo city, Norway [ 157 ].…”

Section: End User Applicationsmentioning

confidence: 99%

“… End-user applications of LCS. Various studies that are used LCS devices; for individual standalone node applications are [ 91 , 117 , 120 , 132 , 154 , 157 , 158 , 159 , 160 , 161 , 162 , 163 ]; network of nodes applications are [ 21 , 62 , 79 , 80 , 119 , 143 , 164 , 165 , 166 , 167 , 168 ]; on vehicles applications are [ 25 , 81 , 120 , 168 , 169 , 170 , 171 , 172 ]; wearable applications are [ 15 , 16 , 62 , 81 , 173 , 174 , 175 , 176 ], and on UAV applications are [ 36 , 177 , 178 , 179 , 180 , 181 , 182 ]. Here, POV stands for person on vehicle (cycle, motor bike etc.)…”

Section: Figurementioning

confidence: 99%

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Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art

Narayana

Jalihal

Nagendra

2022

Sensors

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Low-cost sensors (LCS) are becoming popular for air quality monitoring (AQM). They promise high spatial and temporal resolutions at low-cost. In addition, citizen science applications such as personal exposure monitoring can be implemented effortlessly. However, the reliability of the data is questionable due to various error sources involved in the LCS measurement. Furthermore, sensor performance drift over time is another issue. Hence, the adoption of LCS by regulatory agencies is still evolving. Several studies have been conducted to improve the performance of low-cost sensors. This article summarizes the existing studies on the state-of-the-art of LCS for AQM. We conceptualize a step by step procedure to establish a sustainable AQM setup with LCS that can produce reliable data. The selection of sensors, calibration and evaluation, hardware setup, evaluation metrics and inferences, and end user-specific applications are various stages in the LCS-based AQM setup we propose. We present a critical analysis at every step of the AQM setup to obtain reliable data from the low-cost measurement. Finally, we conclude this study with future scope to improve the availability of air quality data.

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“…The high rate of development of sensor technologies in recent years has made sensors which are smaller, more accurate and cheaper. This increase in technical and economic viability has increased the interest of these devices in various fields such as environmental monitoring [6], bridge monitoring [7] or even testing lineal infrastructures [8]. Through their use, railway transportation could continue to be considered a reference for a modern, intelligent and efficient transportation, making it more competitive, and at the same time decreasing associated maintenance costs, via implementing continuous predictive maintenance.…”

Section: Introductionmentioning

confidence: 99%

A Critical Review of Sensors for the Continuous Monitoring of Smart and Sustainable Railway Infrastructures

et al. 2020

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Real-time and continuous monitoring through smart sensors is considered to be the evolution of traditional track testing, enabling the earlier detection of the main failure modes that degrade railway tracks. Through carrying out preventive maintenance operations, infrastructure resources may be optimized, leading to smarter and more sustainable infrastructure. For this reason, under the larger goal of creating a synergy with various types of sensors for railway tracks, this article presents a critical review on the different, currently available sensors for smart and continuous monitoring. Specifically, the most appropriate monitoring technologies for each of the main railway track failure modes have been assessed and identified, thus deriving the advantages and capacities of each solution. Furthermore, this review presents some of the main experiences carried out to date in literature by using sensor technologies, such as strain gauges, piezoelectric sensors, fiber-optics, geophones and accelerometers. These technologies have proven to offer appropriate characteristics and accuracy for the continuous monitoring of a railway track’s structural state, being capable of measuring different parameters, such as deflections, deformations, stresses or accelerations that would permit the technical tracking of various forms of degradation.

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The use of low-cost sensors for air quality analysis in road intersections

Cited by 20 publications

References 29 publications

Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors

Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors

Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art

A Critical Review of Sensors for the Continuous Monitoring of Smart and Sustainable Railway Infrastructures

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