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A Study on the Big Data Analysis System for Searching of the Flooded Road Areas
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 Title & Authors
A Study on the Big Data Analysis System for Searching of the Flooded Road Areas
Song, Youngmi; Kim, Chang Soo;
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The frequency of natural disasters because of global warming is gradually increasing, risks of flooding due to typhoon and torrential rain have also increased. Among these causes, the roads are flooded by suddenly torrential rain, and then vehicle and personal injury are happening. In this respect, because of the possibility that immersion of a road may occur in a second, it is necessary to study the rapid data collection and quick response system. Our research proposes a big data analysis system based on the collected information and a variety of system information collection methods for searching flooded road areas by torrential rains. The data related flooded roads are utilized the SNS data, meteorological data and the road link data, etc. And the big data analysis system is implemented the distributed processing system based on the Hadoop platform.
Big Data Analysis;Social Media;Flooded Road Areas;Searching System;
 Cited by
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