Comparison of four statistical and machine learning methods for crash severity prediction
A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
Critical factors and paths influencing construction workers’ safety risk tolerances
Critical factors and paths influencing construction workers' safety risk tolerances
Analyzing pedestrian crash injury severity at signalized and non-signalized locations
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
The influence of daily sleep patterns of commercial truck drivers on driving performance