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http://dx.doi.org/10.14400/JDC.2020.18.4.221

Real-time data processing and visualization for road weather services  

Kim, DaeSung (Department of Statistics, Daegu University)
Ahn, Sukhee (Research Center for Atmospheric Environment at Hankuk University of Foreign Studies)
Lee, Chaeyeon (Research Center for Atmospheric Environment at Hankuk University of Foreign Studies)
Yoon, Sanghoo (Division of Mathematics and Big Data Science, Daegu University)
Publication Information
Journal of Digital Convergence / v.18, no.4, 2020 , pp. 221-228 More about this Journal
Abstract
As industrial technology advances, convenience is also being developed. Many people living in big cities are commuting using transportation such as buses, taxis, cars, etc. and enjoy leisure, so research is needed to reduce the damages caused by traffic accidents. This study deals with estimating road-level rainfall in real-time. A rainfall observation data and radar data provided by the Korea meteorological administration were collected in real-time to create an integrated database, which was estimated as road-level rainfall by universal kriging method. Besides, we conducted a study to interactively visualization of mash-up road traffic information in real-time with integrating rainfall information.
Keywords
Real-time data; rainfall; road safety; Visualization; Kriging;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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