Sanggyeong Yoon - Academia.edu (original) (raw)

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Papers by Sanggyeong Yoon

Research paper thumbnail of 도로위의 기상요인이 교통사고에 미치는 영향 - 부산지역을 중심으로

Journal of the Korean Data and Information Science Society, 2015

Them traffic accidents have been increased every year due to increasing of vehicles numbers as we... more Them traffic accidents have been increased every year due to increasing of vehicles numbers as well as the gravitation of the population. The carelessness of drivers, many road weather factors have a great influence on the traffic accidents. Especially, the number of traffic accident is governed by precipitation, visibility, humidity, cloud amounts and temperature. The purpose of this paper is to analyse the effect of road weather factors on traffic accident. We use the data of traffic accident, AWS weather factors (precipitation, existence of rainfall, temperature, wind speed), time zone and day of the week in 2013. We did statistical analysis using logistic regression analysis and decision tree analysis. These prediction models may be used to predict the traffic accident according to the weather condition.

Research paper thumbnail of 도로위의 기상요인이 교통사고에 미치는 영향 - 부산지역을 중심으로

Journal of the Korean Data and Information Science Society, 2015

Them traffic accidents have been increased every year due to increasing of vehicles numbers as we... more Them traffic accidents have been increased every year due to increasing of vehicles numbers as well as the gravitation of the population. The carelessness of drivers, many road weather factors have a great influence on the traffic accidents. Especially, the number of traffic accident is governed by precipitation, visibility, humidity, cloud amounts and temperature. The purpose of this paper is to analyse the effect of road weather factors on traffic accident. We use the data of traffic accident, AWS weather factors (precipitation, existence of rainfall, temperature, wind speed), time zone and day of the week in 2013. We did statistical analysis using logistic regression analysis and decision tree analysis. These prediction models may be used to predict the traffic accident according to the weather condition.

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