A Statistical and machine learning framework for analyzing road traffic crash severity in Sri Lanka
This study analyses 397,850 police-reported crashes in Sri Lanka from 2010 to 2020 using a multinomial logit model, validated through Random Forest and XGBoost, to identify key factors influencing crash severity across four outcome levels. Results reveal four findings not apparent from conventional crash statistics. Fi...