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http://dx.doi.org/10.12815/kits.2018.17.3.87

Analysis of the Unstructured Traffic Report from Traffic Broadcasting Network by Adapting the Text Mining Methodology  

Roh, You Jin (Pukyong National Univ.)
Bae, Sang Hoon (Pukyong National Univ.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.3, 2018 , pp. 87-97 More about this Journal
Abstract
The traffic accident reports that are generated by the Traffic Broadcasting Networks(TBN) are unstructured data. It, however, has the value as some sort of real-time traffic information generated by the viewpoint of the drives and/or pedestrians that were on the roads, the time and spots, not the offender or the victim who caused the traffic accidents. However, the traffic accident reports, which are big data, were not applied to traffic accident analysis and traffic related research commonly. This study adopting text-mining technique was able to provide a clue for utilizing it for the impacts of traffic accidents. Seven years of traffic reports were grasped by this analysis. By analyzing the reports, it was possible to identify the road names, accident spot names, time, and to identify factors that have the greatest influence on other drivers due to traffic accidents. Authors plan to combine unstructured accident data with traffic reports for further study.
Keywords
Traffic Reports; Big data; Unstructured data; Text Mining; Word-cloud;
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