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http://dx.doi.org/10.12815/kits.2022.21.6.36

Development of a Model for Calculating the Negligence Ratio Using Traffic Accident Information  

Eum Han (Dept. of Transportation Operation, Korea Road Traffic Authority)
Giok Park (Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority)
Heejin Kang (Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority)
Yoseph Lee (Dept. of Transportation Eng., Univ. of Ajou)
Ilsoo Yun (Dept. of Transportation Eng., Univ. of Ajou)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.6, 2022 , pp. 36-56 More about this Journal
Abstract
Traffic accidents occur in Korea are calculated with the 「Automobile Accident Negligence Ratio Certification Standard」 prepared by the 'General Insurance Association of Korea' and the insurance company's agreement or judgment is made. However, disputes are frequently occurring in calculating the negligence ratio. Therefore, it is thought that a more effective response would be possible if accident type according to the standard could be quickly identified using traffic accident information prepared by police. Therefore, this study aims to develop a model that learns the accident information prepared by the police and classifies it to match the accident type in the standard. In particular, through data mining, keywords necessary to classify the accident types of the standard were extracted from the accident data of the police. Then, models were developed to derive the types of accidents by learning the extracted keywords through decision trees and random forest models.
Keywords
Traffic accident; Negligence ratio; Type classification; Decision tree; Random forest;
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Times Cited By KSCI : 2  (Citation Analysis)
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