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
Innovative motor insurance schemes: A review of current practices and emerging challenges
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity