Felisa C. Gragera-Peña

Machine Learning for Liability Attribution in Pedestrians Involved in Traffic Crashes: Interpretability and Class Imbalance Solutions

Felisa C. Gragera-Peña, Miguel A. Jaramillo-Morán, Alejandro Moreno-Sanfélix

This paper proposes a Machine Learning (ML) framework designed to attribute liability betweendrivers and pedestrians in traffic crashes. This study applies classification algorithmsand interpretability techniques to analyze judicial rulings related to pedestrian crashesin Badajoz…Read more