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http://dx.doi.org/10.12815/kits.2021.20.5.130

Impact of Road Traffic Characteristics on Environmental Factors Using IoT Urban Big Data  

Park, Byeong hun (Dept. of Transportation Eng., University of Seoul)
Yoo, Dayoung (Dept. of Transportation Eng., University of Seoul)
Park, Dongjoo (Dept. of Transportation Eng., University of Seoul)
Hong, Jungyeol (Dept. of Transportation Eng., Keimyung University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.5, 2021 , pp. 130-145 More about this Journal
Abstract
As part of the Smart Seoul policy, the importance of using big urban data is being highlighted. Furthermore interest in the impact of transportation-related urban environmental factors such as PM10 and noise on citizen's quality of life is steadily increasing. This study established the integrated DB by matching IoT big data with transportation data, including traffic volume and speed in the microscopic Spatio-temporal scope. This data analyzed the impact of a spatial unit in the road-effect zone on environmental risk level. In addition, spatial units with similar characteristics of road traffic and environmental factors were clustered. The results of this study can provide the basis for systematically establishing environmental risk management of urban spatial units such as PM10 or PM2.5 hot-spot and noise hot-spot.
Keywords
IoT bigdata; Road-effect zone; PM10; Noise; Time-series clustering;
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