Prediction Model for Road Traffic Accident Based on Random Forest
Rong Cheng, Mengmeng Zhang, Xue-Mei Yu
Abstract
Rong Cheng, Mengmeng 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
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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
Key concepts: Forest road, Random forest, Traffic accident, Accident (philosophy), Road traffic accident, Transport engineering, Computer science, Environmental science