Prediction of Crash Injury Severity in Florida's Interstate-95
B M Tazbiul Hassan Anik Md Mobasshir Rashid Md Jamil Ahsan
Drivers can sustain serious injuries in traffic accidents. In this study,
traffic crashes on Florida's Interstate-95 from 2016 to 2021 were gathered, and
several classification methods were used to estimate the severity of driver
injuries. In the feature selection method, logistic regression was applied. To
compare model performances, various model assessment matrices such as accuracy,
recall, and area under curve (AUC) were developed. The Adaboost algorithm
outperformed the others in terms of recall and AUC. SHAP values were also
generated to explain the classification model's results. This analytical study
can be used to examine factors that contribute to the severity of driver
injuries in crashes.