Predicting and factor analysis of rider injury severity in two-wheeled motorcycle and vehicle crash accidents based on an interpretable machine learning framework

CONCLUSIONS: The prediction model of driver injury severity based on LightGBM algorithm has a good prediction performance. It can be used to analyze the influence factors of injury severity in two-wheeled motorcyclist accident by combining the model with SHAP method. These results could help the traffic management department to take measures to reduce accident injury of motorcyclists.PMID:38019553 | DOI:10.1080/15389588.2023.2284111
Source: Traffic Injury Prevention - Category: Accident Prevention Authors: Source Type: research