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http://dx.doi.org/10.15207/JKCS.2014.5.1.009

Study on predictive modeling of incidence of traffic accidents caused by weather conditions  

Chung, Young-Suk (Division of Computer Science and Engineering, Kongju National University)
Park, Rack-Koo (Division of Computer Science and Engineering, Kongju National University)
Kim, Jin-Mook (Division of IT Education, Sunmoon University)
Publication Information
Journal of the Korea Convergence Society / v.5, no.1, 2014 , pp. 9-15 More about this Journal
Abstract
Traffic accidents are caused by a variety of factors. Among the factors that cause traffic accidents are weather conditions at the time. There is a difference in the percentage of deaths according to traffic accidents, due to the weather conditions. In order to reduce the number of deaths due to traffic accidents, to predict the incidence of traffic accidents that occur in response to weather conditions is required. In this paper, it propose a model to predict the incidence of traffic accidents caused by weather conditions. Predictive modeling was applied to the theory of Markov processes. By applying the actual data for the proposed model, to predict the incidence of traffic accidents, it was compared with the number of occurrences in practice. In this paper, it is to support the development of traffic accident policy with the change of weather.
Keywords
Traffic accidents; predictive models; Markov process; weather condition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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