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Traffic accident analysis based on C4.5 algorithm in WEKA

By Jiajia Li, Jie He, Ziyang Liu, Hao Zhang and Chen Zhang

Abstract

At present, China is in a period of steady development of highways. At the same time, traffic safety issues are becoming increasingly serious. Data mining technology is an effective method for analysing traffic accidents. In-depth information mining of traffic accident data is conducive to accident prevention and traffic safety management. Based on the data of Wenli highway traffic accidents from 2006 to 2013, this study selected factors including time factor, linear factor and driver characteristics as research indicators, and established the decision tree using C4.5 algorithm in WEKA to explore the impact of various factors on the accident. According to the degree of contribution of each variable to the classification effect of the model, various modes affecting the type of the accident are obtained and the overall prediction accuracy is about 80%

Publisher: EDP Sciences
DOI identifier: 10.1051/matecconf/201927201035
OAI identifier: oai:edpsciences.org:dkey/10.1051/matecconf/201927201035
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