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http://dx.doi.org/10.5573/ieie.2016.53.9.089

Analysis and Prediction of Bicycle Traffic Accidents in Korea  

Choi, Seunghee (Department of Computer and Communications Engineering, Kangwon National University)
Lee, Goo Yeon (Department of Computer and Communications Engineering, Kangwon National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.53, no.9, 2016 , pp. 89-96 More about this Journal
Abstract
According to the promoting policy for bicycle riding, the bicycle road infrastructure in Korea has been widely established. As the number of bicycle rider increases, bicycle traffic accidents also increase year after year. In this paper, we analyze bicycle traffic accident data from 2007 to 2014 which is provided by Road Traffic Authority and present statistical results of bicycle traffic accidents. And also regression analysis is applied to predict the number of daily traffic accidents in Seoul using ASOS(Automated Synoptic Observing System) climate data observed in the Seoul sector which are provided by Korea Meteorological Administration. In addition, decision tree analysis techniques are used to forecast the level of traffic accidents severity. In the analytic results of this research, we expect that it will be helpful to establish the collective policy of bicycle accident data and protective strategy in order to reduce the number of bicycle accidents.
Keywords
bicycle traffic accidents; bicycle; traffic accidents; descriptive analysis; predictive analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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