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
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
Analyzing pedestrian crash injury severity at signalized and non-signalized locations
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity