Predicting pedestrian-vehicle interaction severity at unsignalized intersections.
Journal:
Traffic injury prevention
PMID:
39405419
Abstract
OBJECTIVES: This study aims to develop and validate a novel deep-learning model that predicts the severity of pedestrian-vehicle interactions at unsignalized intersections, distinctively integrating Transformer-based models with Multilayer Perceptrons (MLP). This approach leverages advanced feature analysis capabilities, offering a more direct and interpretable method than traditional models.