zenodoJournal article2026-07-03
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…