Crash Risk Analysis of Non-Motorists using Interpretable Tabular Deep Learning
The study investigates injury severity patterns among non-motorists (e.g., pedestrians and bicyclists) in Illinois using interpretable machine learning models applied to crash data from 2021 to 2023. The dataset included variables such as roadway design, environmental context, crash characteristics, and driver behavior...