11 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 11 cited
Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach
Amir Rafe, Patrick A. Singleton
This study presents the first investigation of pedestrian crash severity using the TabNet model, a novel tabular deep learning method exceptionally suited for analyzing the tabular…
physics.soc-ph2019★ 2 cited
Applied hybrid binary mixed logit to investigate pedestrian crossing safety at midblock and unsignalized intersection
Mohammad Ali Arman, Amir Rafe, Tobias Kretz
Pedestrian's crossing from unsignalized locations at intersections or midblock locations is a risky decision that could lead to fatal accidents. Despite making a decision to accept…