Prediction Model for Road Traffic Accident Based on Random Forest

Rong CHENG, Meng-Meng ZHANG, Xue-Mei YU

Abstract


More than 1.3 million people worldwide die in road traffic accidents every year, and the number of traffic accident deaths in China is increasing by 10% every year. Traffic safety has become an important direction for the development of road transportation systems. At present, research in progress of road traffic accidents is mainly from accidents numbers and the degree of accident damage. Firstly, this paper proposes a random forest prediction model for the prediction of the number of road traffic accidents, which applied to the actual to verify the validity of the model by using the R software to solve it. 1. Predictive

Keywords


Traffic Accident, Prediction Model, Random Forest


DOI
10.12783/dtssehs/icesd2019/28223