journal article·2025-10-30Open access

IoT Sensing-Based High-Density Monitoring of Urban Roadside Particulate Matter (PM10 and PM2.5)

Bong-Joo Jang, Namjune Park, Intaek Jung

Applied Sciences· Volume 15· Issue 21

Abstract

Particulate matter (PM) poses serious health risks, including respiratory and cardiovascular diseases, and is classified as a carcinogen by the World Health Organization and International Agency for Research on Cancer. Roadside air pollution, which is strongly affected by traffic emissions, is a major contributor to urban air quality deterioration. This study investigated the feasibility of establishing a low-cost, Internet of Things (IoT)-based, high-density monitoring network for roadside PM10 and PM2.5 to support safer and more sustainable road environments. We developed low-cost IoT sensing devices, deployed them at three urban roadside sites with different environmental conditions, and compared their performances with those of nearby public monitoring stations. One-minute resolution data were analyzed using Pearson correlation, cross-correlation, dynamic time warping, Z-score, and the roulette index. The IoT sensor data were strongly correlated with public station data, confirming its reliability as a complementary observation method. Notable site-specific patterns were sharp concentration increases with traffic at an intersection and distinct diurnal and weekly cycles at residential and rooftop sites. These findings demonstrate that low-cost IoT sensing can complement sparse public networks by providing microscale air quality information. This approach offers a practical foundation for smart city development and intelligent roadside environmental management.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Air Quality Monitoring and Forecasting · Air Quality and Health Impacts · Traffic Prediction and Management Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Technology, 283 Goyang-daero, Ilsanseo-gu, Goyang-si 10223, Gyeonggi-do, Republic of Korea

BISTelligence, Inc., 13F, Building B, 330 Gangnam-daero, Seocho-gu, Seoul 06627, Republic of Korea

Funding

Institute of Information & Communications Technology Planning & Evaluation

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