Prediction of Highway Multi‑Accident Sections Based on Machine Learning
A random forest model is constructed based on the US Accidents public dataset, with accident time, weather, temperature, and other features selected to predict multi-accident road segments, and to validate the prediction effect of the random forest model in realistic data situations.
Mu-Lei Zhu
· 0 citations